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ORCIDSantiago Ontañón
Santi Ontañón Villar – Santi Ontañón – Santiago Ontañón Villar
Person information
- affiliation: Drexel University
- affiliation (former): Georgia Institute of Technology, Atlanta, USA
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Books and Theses
- 2008
[b1]Santiago Ontañón Villar:
Ensemble case based learning for multi-agent systems. Autonomous University of Barcelona, 2008, ISBN 978-3-8364-7430-6, pp. 1-204
Journal Articles
- 2022
- [j38]Avelino J. Gonzalez, Josiah Wong, Emily M. Thomas, Alec Kerrigan, Lauren Hastings, Andres Posadas, Kevin Negy, Annie S. Wu, Santiago Ontañón, Yi-Ching Lee, Flaura K. Winston:
Detection of driver health condition by monitoring driving behavior through machine learning from observation. Expert Syst. Appl. 199: 117167 (2022) - [j37]Pavan Kantharaju
, Katelyn Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Modeling Player Knowledge in a Parallel Programming Educational Game. IEEE Trans. Games 14(1): 64-75 (2022) - [j36]Zuozhi Yang, Santiago Ontañón:
An Experimental Survey on Methods for Integrating Scripts Into Adversarial Search for RTS Games. IEEE Trans. Games 14(2): 117-125 (2022) - 2021
- [j35]Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara:
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access 9: 117981-117992 (2021) - [j34]Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo:
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 116:1-116:21 (2021) - 2020
- [j33]Santiago Ontañón:
An overview of distance and similarity functions for structured data. Artif. Intell. Rev. 53(7): 5309-5351 (2020) - 2018
- [j32]Santiago Ontañón, Nicolas A. Barriga, Cleyton R. Silva, Rubens O. Moraes, Levi H. S. Lelis:
The First microRTS Artificial Intelligence Competition. AI Mag. 39(1): 75-83 (2018) - [j31]Brian Magerko, Julio César Bahamón, Michael Buro, Rossana Damiano, Jo Mazeika, Santiago Ontañón, Justus Robertson, James Ryan, Kristin Siu:
The 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Mag. 39(2): 75-78 (2018) - [j30]Santiago Ontañón, Ali Shokoufandeh:
Refinement operators for directed labeled graphs with applications to instance-based learning. Knowl. Based Syst. 161: 425-441 (2018) - [j29]Alberto Uriarte, Santiago Ontañón:
Combat Models for RTS Games. IEEE Trans. Games 10(1): 29-41 (2018) - 2017
- [j28]Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav:
Reports on the 2017 AAAI Spring Symposium Series. AI Mag. 38(4): 99-106 (2017) - [j27]Antonio A. Sánchez-Ruiz, Santiago Ontañón:
Structural plan similarity based on refinements in the space of partial plans. Comput. Intell. 33(4): 926-947 (2017) - [j26]Santiago Ontañón:
Combinatorial Multi-armed Bandits for Real-Time Strategy Games. J. Artif. Intell. Res. 58: 665-702 (2017) - [j25]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Error Analysis in an Automated Narrative Information Extraction Pipeline. IEEE Trans. Comput. Intell. AI Games 9(4): 342-353 (2017) - [j24]Sam Snodgrass, Santiago Ontañón:
Learning to Generate Video Game Maps Using Markov Models. IEEE Trans. Comput. Intell. AI Games 9(4): 410-422 (2017) - 2016
- [j23]Camille Barot, Michael Buro, Michael Cook, Mirjam Palosaari Eladhari, Boyang Li, Antonios Liapis, Magnus Johansson, Josh McCoy, Santiago Ontañón, Jonathan P. Rowe, Emmett Tomai, Harko Verhagen, Alexander Zook:
The AIIDE 2015 Workshop Program. AI Mag. 37(2): 91-94 (2016) - [j22]Antonio A. Sánchez-Ruiz, Santiago Ontañón, Pedro A. González-Calero, Enric Plaza:
Measuring similarity of individuals in description logics over the refinement space of conjunctive queries. J. Intell. Inf. Syst. 47(3): 447-467 (2016) - [j21]Gregory W. Schwartz, Ali Shokoufandeh, Santiago Ontañón, Uri Hershberg:
Using a novel clumpiness measure to unite data with metadata: Finding common sequence patterns in immune receptor germline V genes. Pattern Recognit. Lett. 74: 24-29 (2016) - [j20]Cristina Tîrnauca, José L. Montaña, Santiago Ontañón, Avelino J. Gonzalez, Luis M. Pardo:
Behavioral Modeling Based on Probabilistic Finite Automata: An Empirical Study. Sensors 16(7): 958 (2016) - [j19]Michael Buro, Santiago Ontañón, Mike Preuss:
Guest Editorial Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games 8(4): 317-318 (2016) - 2015
- [j18]Santiago Ontañón, Enric Plaza:
Coordinated inductive learning using argumentation-based communication. Auton. Agents Multi Agent Syst. 29(2): 266-304 (2015) - [j17]Santiago Ontañón, Pedro Meseguer:
Speeding up operations on feature terms using constraint programming and variable symmetry. Artif. Intell. 220: 104-120 (2015) - [j16]Santiago Ontañón, Enric Plaza:
Refinement-based disintegration: An approach to re-representation in relational learning. AI Commun. 28(1): 35-46 (2015) - [j15]Tiffany Barnes, Oliver Bown, Michael Buro, Michael Cook, Arne Eigenfeldt, Héctor Muñoz-Avila, Santiago Ontañón, Philippe Pasquier, Noriko Tomuro, Robert Michael Young, Alexander Zook:
Reports of the Workshops Held at the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Mag. 36(1): 99-102 (2015) - [j14]Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón:
A semantic network-based evolutionary algorithm for computational creativity. Evol. Intell. 8(1): 3-21 (2015) - 2014
- [j13]Santiago Ontañón, José L. Montaña, Avelino J. Gonzalez:
A Dynamic-Bayesian Network framework for modeling and evaluating learning from observation. Expert Syst. Appl. 41(11): 5212-5226 (2014) - [j12]Jichen Zhu, Santiago Ontañón:
Shall I Compare Thee to Another Story? - An Empirical Study of Analogy-Based Story Generation. IEEE Trans. Comput. Intell. AI Games 6(2): 216-227 (2014) - 2013
- [j11]Mark O. Riedl, Gita Reese Sukthankar, Arnav Jhala, Jichen Zhu, Santi Ontañón Villar, Michael Buro, David Churchill:
The Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Mag. 34(1): 87-89 (2013) - [j10]Santiago Ontañón, Sarah Jane Delany, William E. Cheetham:
Report on the 21st International Conference on Case-Based Reasoning. AI Mag. 34(4): 9- (2013) - [j9]Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss:
A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft. IEEE Trans. Comput. Intell. AI Games 5(4): 293-311 (2013) - 2012
- [j8]Santiago Ontañón, Pilar Dellunde, Lluís Godo, Enric Plaza:
A defeasible reasoning model of inductive concept learning from examples and communication. Artif. Intell. 193: 129-148 (2012) - [j7]Santiago Ontañón, Enric Plaza:
Similarity measures over refinement graphs. Mach. Learn. 87(1): 57-92 (2012) - [j6]Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song:
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. 3(4): 75:1-75:38 (2012) - 2011
- [j5]Santiago Ontañón, Enric Plaza:
An argumentation framework for learning, information exchange, and joint-deliberation in multi-agent systems. Multiagent Grid Syst. 7(2-3): 95-108 (2011) - 2010
- [j4]Santi Ontañón, Kinshuk Mishra, Neha Sugandh, Ashwin Ram:
On-Line Case-Based Planning. Comput. Intell. 26(1): 84-119 (2010) - [j3]Manu Sharma, Santiago Ontañón, Manish Mehta, Ashwin Ram:
Drama Management and Player Modeling for Interactive Fiction Games. Comput. Intell. 26(2): 183-211 (2010) - 2006
- [j2]Enric Plaza, Santiago Ontañón:
Learning collaboration strategies for committees of learning agents. Auton. Agents Multi Agent Syst. 13(3): 429-461 (2006) - 2005
- [j1]Enric Plaza, Eva Armengol, Santiago Ontañón:
The Explanatory Power of Symbolic Similarity in Case-Based Reasoning. Artif. Intell. Rev. 24(2): 145-161 (2005)
Conference and Workshop Papers
- 2023
- [c160]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Distribution Fairness in Multiplayer AI Using Shapley Constraints. AIIDE 2023: 233-243 - [c159]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Beyond UCT: MAB Exploration Improvements for Monte Carlo Tree Search. CoG 2023: 1-8 - [c158]Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai:
CoLT5: Faster Long-Range Transformers with Conditional Computation. EMNLP 2023: 5085-5100 - [c157]David C. Uthus, Santiago Ontañón, Joshua Ainslie, Mandy Guo:
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. EMNLP (Findings) 2023: 9380-9386 - [c156]Robert C. Gray, Jennifer Villareale, Thomas Boyd Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu:
Improving Fairness in Adaptive Social Exergames via Shapley Bandits. IUI 2023: 322-336 - 2022
- [c155]Santiago Ontañón, Joshua Ainslie, Zachary Fisher, Vaclav Cvicek:
Making Transformers Solve Compositional Tasks. ACL (1) 2022: 3591-3607 - [c154]Shengyi Huang, Santiago Ontañón:
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. FLAIRS 2022 - [c153]Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang:
LongT5: Efficient Text-To-Text Transformer for Long Sequences. NAACL-HLT (Findings) 2022: 724-736 - [c152]James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontañón:
FNet: Mixing Tokens with Fourier Transforms. NAACL-HLT 2022: 4296-4313 - 2021
- [c151]Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón:
Improving Compositional Generalization in Classification Tasks via Structure Annotations. ACL/IJCNLP (2) 2021: 637-645 - [c150]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Multiplayer Modeling via Multi-Armed Bandits. CoG 2021: 1-8 - [c149]Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela:
Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoG 2021: 1-8 - [c148]Zuozhi Yang, Santiago Ontañón:
Contextual Combinatorial Bandits in Real-Time Strategy Games. CoG 2021: 1-9 - [c147]David Grethlein, Aleksanteri Sladek, Santiago Ontañón:
ADHD Prediction via Time Series Ensemble fed Driving Simulator Data. FLAIRS 2021 - [c146]Santiago Ontañón, Jichen Zhu:
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. IUI Companion 2021: 64-66 - [c145]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. KDD 2021: 3569-3575 - 2020
- [c144]Zuozhi Yang, Santiago Ontañón:
Bandit-Based Policy Optimization for Monte Carlo Tree Search in RTS Games. AIIDE Workshops 2020 - [c143]Zuozhi Yang, Santiago Ontañón:
Are Strong Policies Also Good Playout Policies? Playout Policy Optimization for RTS Games. AIIDE 2020: 144-150 - [c142]Pavan Kantharaju, Santiago Ontañón:
Discovering Meaningful Labelings for RTS Game Replays via Replay Embeddings. CoG 2020: 160-167 - [c141]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. CoG 2020: 312-319 - [c140]Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang:
ETC: Encoding Long and Structured Inputs in Transformers. EMNLP (1) 2020: 268-284 - [c139]Jichen Zhu, Santiago Ontañón:
Player-Centered AI for Automatic Game Personalization: Open Problems. FDG 2020: 6:1-6:8 - [c138]Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontañón:
Player Modeling via Multi-Armed Bandits. FDG 2020: 7:1-7:8 - [c137]David Grethlein, Santiago Ontañón:
Spatially Aligned Clustering of Driving Simulator Data. FLAIRS 2020: 45-50 - [c136]Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. NeurIPS 2020 - 2019
- [c135]Zuozhi Yang, Santiago Ontañón:
Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games. KEG@AAAI 2019: 2-8 - [c134]Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib:
Extracting CCGs for Plan Recognition in RTS Games. KEG@AAAI 2019: 9-16 - [c133]Zuozhi Yang, Santiago Ontañón:
Guiding Monte Carlo Tree Search by Scripts in Real-Time Strategy Games. AIIDE 2019: 100-107 - [c132]Rook Liu, Claire Christopher, Chris Martens, Santiago Ontañón, Piotr Mirowski, Kory W. Mathewson, Thomas Winters, Shaun Farrugia:
Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AIIDE 2019: 234-238 - [c131]Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib:
Scaling up CCG-Based Plan Recognition via Monte-Carlo Tree Search. CoG 2019: 1-8 - [c130]Jichen Zhu, Santiago Ontañón:
Experience Management in Multi-player Games. CoG 2019: 1-6 - [c129]Jichen Zhu, Katelyn Alderfer, Anushay Furqan, Jessica Nebolsky, Bruce W. Char, Brian K. Smith, Jennifer Villareale, Santiago Ontañón:
Programming in game space: how to represent parallel programming concepts in an educational game. FDG 2019: 4:1-4:10 - [c128]Chelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, Jichen Zhu:
Modeling Behavior Patterns with an Unfamiliar Voice User Interface. UMAP 2019: 196-200 - 2018
- [c127]Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Tracing Player Knowledge in a Parallel Programming Educational Game. AIIDE 2018: 173-179 - [c126]Brandon Packard, Santiago Ontañón:
A User Study on Learning from Human Demonstration. AIIDE 2018: 208-214 - [c125]Santiago Ontañón:
SHRDLU: A Game Prototype Inspired by Winograd's Natural Language Understanding Work. AIIDE 2018: 268-270 - [c124]Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib:
μCCG, a CCG-based Game-Playing Agent for μRTS. CIG 2018: 1-8 - [c123]Zuozhi Yang, Santiago Ontañón:
Learning Map-Independent Evaluation Functions for Real-Time Strategy Games. CIG 2018: 1-7 - [c122]Christopher C. Yang, Ou Stella Liang, Santiago Ontañón, Weimao Ke, Helen Loeb, Charlie Klauer:
Predictive Modeling with Vehicle Sensor Data and IoT for Injury Prevention. CIC 2018: 293-298 - [c121]Brandon Packard, Santiago Ontañón:
Learning Behavior from Limited Demonstrations in the Context of Games. FLAIRS 2018: 86-91 - [c120]Josiah Wong, Lauren Hastings, Kevin Negy, Avelino J. Gonzalez, Santiago Ontañón, Yi-Ching Lee:
Machine Learning from Observation to Detect Abnormal Driving Behavior in Humans. FLAIRS 2018: 152-157 - [c119]Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis:
Autonomous Swarm Agents Using Case-Based Reasoning. SGAI Conf. 2018: 210-216 - [c118]Katelyn Bright Alderfer, Brian K. Smith, Santiago Ontañón, Bruce W. Char, Jessica Nebolsky, Jichen Zhu, Anushay Furqan, Evan Freed, Justin H. Patterson, Josep Valls-Vargas:
Lessons Learned From an Interactive Educational Computer Game About Concurrent Programming: (Abstract Only). SIGCSE 2018: 1077 - 2017
- [c117]Santiago Ontañón, Josep Valls-Vargas, Jichen Zhu:
Bridging the Gap Between Computational Narrative and Natural Language Processing. AAAI Workshops 2017 - [c116]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Towards Automatically Extracting Story Graphs from Natural Language Stories. AAAI Workshops 2017 - [c115]Santiago Ontañón, Yi-Ching Lee, Sam Snodgrass, Flaura K. Winston, Avelino J. Gonzalez:
Learning to Predict Driver Behavior from Observation. AAAI Spring Symposia 2017 - [c114]Brandon Packard, Santiago Ontañón:
Policies for Active Learning from Demonstration. AAAI Spring Symposia 2017 - [c113]Sam Snodgrass, Santiago Ontañón:
Leveraging Multi-Layer Level Representations for Puzzle-Platformer Level Generation. AIIDE Workshops 2017 - [c112]Sam Snodgrass, Adam Summerville, Santiago Ontañón:
Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation. AIIDE 2017: 122-128 - [c111]Alberto Uriarte, Santiago Ontañón:
Single Believe State Generation for Handling Partial Observability with MCTS in StarCraft. AIIDE Workshops 2017 - [c110]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Towards End-to-End Natural Language Story Generation Systems. AIIDE Workshops 2017 - [c109]Santiago Ontañón, Jichen Zhu, Brian K. Smith, Bruce W. Char, Evan Freed, Anushay Furqan, Michael Howard, Anna Nguyen, Justin H. Patterson, Josep Valls-Vargas:
Designing Visual Metaphors for an Educational Game for Parallel Programming. CHI Extended Abstracts 2017: 2818-2824 - [c108]Sam Snodgrass, Santiago Ontañón:
Procedural level generation using multi-layer level representations with MdMCs. CIG 2017: 280-287 - [c107]Alberto Uriarte, Santiago Ontañón:
Single believe state generation for partially observable real-time strategy games. CIG 2017: 296-303 - [c106]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Graph grammar-based controllable generation of puzzles for a learning game about parallel programming. FDG 2017: 7:1-7:10 - [c105]Adam Summerville, Julian R. H. Mariño, Sam Snodgrass, Santiago Ontañón, Levi H. S. Lelis:
Understanding mario: an evaluation of design metrics for platformers. FDG 2017: 8:1-8:10 - [c104]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
From computational narrative analysis to generation: a preliminary review. FDG 2017: 55:1-55:4 - [c103]Brandon Packard, Santiago Ontañón:
Feature Selection for Learning from Demonstration in Minecraft. FLAIRS 2017: 489-494 - [c102]Sam Snodgrass, Santiago Ontañón:
Player Movement Models for Video Game Level Generation. IJCAI 2017: 757-763 - 2016
- [c101]Sam Snodgrass, Santiago Ontañón:
An Approach to Domain Transfer in Procedural Content Generation of Two-Dimensional Videogame Levels. AIIDE 2016: 79-85 - [c100]Alberto Uriarte, Santiago Ontañón:
Improving Monte Carlo Tree Search Policies in StarCraft via Probabilistic Models Learned from Replay Data. AIIDE 2016: 100-106 - [c99]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Predicting Proppian Narrative Functions from Stories in Natural Language. AIIDE 2016: 107-113 - [c98]Santiago Ontañón:
Informed Monte Carlo Tree Search for Real-Time Strategy games. CIG 2016: 1-8 - [c97]Santiago Ontañón, Ali Shokoufandeh:
Refinement-Based Similarity Measures for Directed Labeled Graphs. ICCBR 2016: 311-326 - [c96]Yusuf Osmanlioglu, Santiago Ontañón, Uri Hershberg, Ali Shokoufandeh:
Efficient approximation of labeling problems with applications to immune repertoire analysis. ICPR 2016: 2410-2415 - [c95]Sam Snodgrass, Santiago Ontañón:
Controllable Procedural Content Generation via Constrained Multi-Dimensional Markov Chain Sampling. IJCAI 2016: 780-786 - 2015
- [c94]Josep Valls-Vargas, Santiago Ontañón, Jichen Zhu:
Exploring Player Trace Segmentation for Dynamic Play Style Prediction. AIIDE 2015: 93-99 - [c93]Sam Snodgrass, Santiago Ontañón:
A Hierarchical MdMC Approach to 2D Video Game Map Generation. AIIDE 2015: 205-211 - [c92]Alberto Uriarte, Santiago Ontañón:
Automatic Learning of Combat Models for RTS Games. AIIDE 2015: 212-219 - [c91]Brandon Packard, Santiago Ontañón:
Learning Behavior form Demonstration in Minecraft via Symbolic Similarity Measures. FDG 2015 - [c90]Santiago Ontañón, Enric Plaza, Jichen Zhu:
Argument-Based Case Revision in CBR for Story Generation. ICCBR 2015: 290-305 - [c89]Santiago Ontañón, Michael Buro:
Adversarial Hierarchical-Task Network Planning for Complex Real-Time Games. IJCAI 2015: 1652-1658 - [c88]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Narrative Hermeneutic Circle: Improving Character Role Identification from Natural Language Text via Feedback Loops. IJCAI 2015: 2517-2523 - [c87]Cristina Tîrnauca, José L. Montaña, Carlos Ortiz-Sobremazas, Santiago Ontañón, Avelino J. Gonzalez:
Teaching a Virtual Robot to Perform Tasks by Learning from Observation. UCAmI 2015: 103-115 - 2014
- [c86]Florian Richoux, Alberto Uriarte, Santiago Ontañón:
Walling in Strategy Games via Constraint Optimization. AIIDE 2014 - [c85]Sam Snodgrass, Santiago Ontañón:
A Hierarchical Approach to Generating Maps Using Markov Chains. AIIDE 2014 - [c84]Alberto Uriarte, Santiago Ontañón:
Game-Tree Search over High-Level Game States in RTS Games. AIIDE 2014 - [c83]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Toward Automatic Role Identification in Unannotated Folk Tales. AIIDE 2014 - [c82]Sam Snodgrass, Santiago Ontañón:
Experiments in map generation using Markov chains. FDG 2014 - [c81]Santiago Ontañón, Yi-Ching Lee, Sam Snodgrass, Dana Bonfiglio, Flaura K. Winston, Catherine McDonald, Avelino J. Gonzalez:
Case-Based Prediction of Teen Driver Behavior and Skill. ICCBR 2014: 375-389 - [c80]Antonio A. Sánchez-Ruiz, Santiago Ontañón:
Least Common Subsumer Trees for Plan Retrieval. ICCBR 2014: 405-419 - 2013
- [c79]Santiago Ontañón:
The Combinatorial Multi-Armed Bandit Problem and Its Application to Real-Time Strategy Games. AIIDE 2013 - [c78]Josep Valls-Vargas, Santiago Ontañón, Jichen Zhu:
Toward Character Role Assignment for Natural Language Stories. Intelligent Narrative Technologies 2013 - [c77]Jichen Zhu, Santiago Ontañón:
Evaluating Analogy-Based Story Generation: An Empirical Study. AIIDE 2013 - [c76]Santiago Ontañón, José Luis Montaña, Avelino J. Gonzalez:
A Dynamic Bayesian Network Framework for Learning from Observation. CAEPIA 2013: 373-382 - [c75]Santiago Ontañón, Enric Plaza:
An Approach to Re-Representation in Relational Learning. CCIA 2013: 11-20 - [c74]Alberto Uriarte, Santiago Ontañón:
PSMAGE: Balanced map generation for StarCraft. CIG 2013: 1-8 - [c73]Josep Valls-Vargas, Santiago Ontañón, Jichen Zhu:
Towards story-based content generation: From plot-points to maps. CIG 2013: 1-8 - [c72]Michael W. Floyd, Santiago Ontañón:
Special Track on Case-Based Reasoning. FLAIRS 2013 - [c71]Santiago Ontañón, Michael W. Floyd:
A Comparison of Case Acquisition Strategies for Learning from Observations of State-Based Experts. FLAIRS 2013 - [c70]Antonio A. Sánchez-Ruiz-Granados, Santiago Ontañón, Pedro A. González-Calero, Enric Plaza:
Refinement-Based Similarity Measure over DL Conjunctive Queries. ICCBR 2013: 270-284 - 2012
- [c69]Santiago Ontañón, Pedro Meseguer:
Feature Term Subsumption Using Constraint Programming with Basic Variable Symmetry. CP 2012: 1004-1012 - [c68]Santiago Ontañón:
Case Acquisition Strategies for Case-Based Reasoning in Real-Time Strategy Games. FLAIRS 2012 - [c67]Santiago Ontañón, Enric Plaza:
Toward a Knowledge Transfer Model of Case-Based Inference. FLAIRS 2012 - [c66]Sergio Manzano, Santiago Ontañón, Enric Plaza:
A Case-Based Approach to Mutual Adaptation of Taxonomic Ontologies. ICCBR 2012: 226-240 - [c65]Santiago Ontañón, Josep Lluís Arcos, Josep Puyol-Gruart, Eusebio Carasusán, Daniel Farré Giribet, David de la Cruz, Ismel Brito, Carlos Lopez del Toro:
GENA: A Case-Based Approach to the Generation of Audio-Visual Narratives. ICCBR 2012: 297-311 - [c64]Santiago Ontañón, Enric Plaza:
On Knowledge Transfer in Case-Based Inference. ICCBR 2012: 312-326 - [c63]Josep Valls-Vargas, Santiago Ontañón:
Natural Language Generation through Case-Based Text Modification. ICCBR 2012: 443-457 - [c62]Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón:
Automated Generation of Cross-Domain Analogies via Evolutionary Computation. ICCC 2012: 25-32 - 2011
- [c61]Santiago Ontañón, Jichen Zhu:
The SAM Algorithm for Analogy-Based Story Generation. AIIDE 2011 - [c60]Jichen Zhu, Kenneth E. Ingraham, J. Michael Moshell, Santiago Ontañón:
Towards a computational model of character status in interactive storytelling. Creativity & Cognition 2011: 409-410 - [c59]Jichen Zhu, Santiago Ontañón, Brad Lewter:
Representing game characters' inner worlds through narrative perspectives. FDG 2011: 204-210 - [c58]Katie Long Genter, Santiago Ontañón, Ashwin Ram:
Learning Opponent Strategies through First Order Induction. FLAIRS 2011 - [c57]Jichen Zhu, J. Michael Moshell, Santiago Ontañón, Elena Erbiceanu, Charles E. Hughes:
Why Can't a Virtual Character Be More Like a Human: A Mixed-Initiative Approach to Believable Agents. HCI (14) 2011: 289-296 - [c56]Sergio Manzano, Santiago Ontañón, Enric Plaza:
A Case-Based Approach to Open-Ended Collective Agreement with Rational Ignorance. ICCBR 2011: 107-121 - [c55]Sergio Manzano, Santiago Ontañón, Enric Plaza:
Amalgam-Based Reuse for Multiagent Case-Based Reasoning. ICCBR 2011: 122-136 - [c54]Antonio A. Sánchez-Ruiz-Granados, Santiago Ontañón, Pedro A. González-Calero, Enric Plaza:
Measuring Similarity in Description Logics Using Refinement Operators. ICCBR 2011: 289-303 - [c53]Santiago Ontañón, Jichen Zhu:
On the Role of Domain Knowledge in Analogy-Based Story Generation. IJCAI 2011: 1717-1722 - [c52]Santiago Ontañón, Pedro Meseguer:
Efficient Operations in Feature Terms Using Constraint Programming. ILP 2011: 270-285 - 2010
- [c51]Santiago Ontañón, Jichen Zhu:
Story and Text Generation through Computational Analogy in the Riu System. AIIDE 2010 - [c50]Santiago Ontañón, Enric Plaza:
Empirical Argumentation: Integrating Induction and Argumentation in MAS. ArgMAS 2010: 49-67 - [c49]Santiago Ontañón, Enric Plaza:
Argumentation-based Example Interchange for Multiagent Induction. CCIA 2010: 59-68 - [c48]Santiago Ontañón, Pilar Dellunde, Lluís Godo, Enric Plaza:
Towards a Logical Model of Induction from Examples and Communication. CCIA 2010: 259-268 - [c47]Jichen Zhu, Santiago Ontañón:
Story representation in analogy-based story generation in Riu. CIG 2010: 435-442 - [c46]Santiago Ontañón, Enric Plaza:
Concept Convergence in Empirical Domains. Discovery Science 2010: 281-295 - [c45]Santiago Ontañón, Enric Plaza:
Towards Argumentation-based Multiagent Induction. ECAI 2010: 1111-1112 - [c44]Santiago Ontañón, Enric Plaza:
Amalgams: A Formal Approach for Combining Multiple Case Solutions. ICCBR 2010: 257-271 - [c43]Jichen Zhu, Santiago Ontañón:
Towards Analogy-Based Story Generation. ICCC 2010: 75-84 - [c42]Manish Mehta, Andrea Corradini, Santiago Ontañón, Peter Juel Henrichsen:
Textual vs. Graphical Interaction in an Interactive Fiction Game. ICIDS 2010: 228-231 - [c41]Santiago Ontañón, Enric Plaza:
Multiagent Inductive Learning: an Argumentation-based Approach. ICML 2010: 839-846 - [c40]Søren Tranberg Hansen, Santiago Ontañón:
A Software Framework for Multi Player Robot Games. ICSR 2010: 131-140 - 2009
- [c39]Santiago Ontañón, Enric Plaza:
Argumentation-based Distributed Induction. WAT 2009: 154-168 - [c38]Ian Watson, Santiago Ontañón:
Special Track on Case-Based Reasoning. FLAIRS 2009 - [c37]Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread:
An Ensemble Learning and Problem Solving Architecture for Airspace Management. IAAI 2009 - [c36]Andrea Corradini, Manish Mehta, Santi Ontañón:
Evaluating a Drama Management Approach in an Interactive Fiction Game. IAT 2009: 141-144 - [c35]Manish Mehta, Santiago Ontañón, Ashwin Ram:
Using Meta-reasoning to Improve the Performance of Case-Based Planning. ICCBR 2009: 210-224 - [c34]Santiago Ontañón, Enric Plaza:
On Similarity Measures Based on a Refinement Lattice. ICCBR 2009: 240-255 - [c33]Andrea Corradini, Manish Mehta, Santiago Ontañón:
Evaluation of a Drama Manager Agent for an Interactive Story-Based Game. ICIDS 2009: 246-257 - [c32]Jainarayan Radhakrishnan, Santiago Ontañón, Ashwin Ram:
Goal-Driven Learning in the GILA Integrated Intelligence Architecture. IJCAI 2009: 1205-1210 - 2008
- [c31]Neha Sugandh, Santiago Ontañón, Ashwin Ram:
On-Line Case-Based Plan Adaptation for Real-Time Strategy Games. AAAI 2008: 702-707 - [c30]Andrew Trusty, Santiago Ontañón, Ashwin Ram:
Stochastic Plan Optimization in Real-Time Strategy Games. AIIDE 2008 - [c29]Suhas Virmani, Yatin Kanetkar, Manish Mehta, Santiago Ontañón, Ashwin Ram:
An Intelligent IDE for Behavior Authoring in Real-Time Strategy Games. AIIDE 2008 - [c28]Santiago Ontañón, Enric Plaza:
Argumentation-Based Information Exchange in Prediction Markets. ArgMAS 2008: 181-196 - [c27]Kinshuk Mishra, Santiago Ontañón, Ashwin Ram:
Situation Assessment for Plan Retrieval in Real-Time Strategy Games. ECCBR 2008: 355-369 - [c26]Neha Sugandh, Santiago Ontañón, Ashwin Ram:
Real-Time Plan Adaptation for Case-Based Planning in Real-Time Strategy Games. ECCBR 2008: 533-547 - [c25]Santiago Ontañón, Abhishek Jain, Manish Mehta, Ashwin Ram:
Developing a Drama Management Architecture for Interactive Fiction Games. ICIDS 2008: 186-197 - [c24]Santiago Ontañón, Enric Plaza:
Learning, Information Exchange, and Joint-Deliberation through Argumentation in Multi-agent Systems. OTM Workshops 2008: 150-159 - 2007
- [c23]Manish Mehta, Santiago Ontañón, Ashwin Ram:
Driving Interactive Drama Research through Building Complete Systems. AAAI Fall Symposium: Intelligent Narrative Technologies 2007: 83-86 - [c22]Manu Sharma, Santiago Ontañón, Manish Mehta, Ashwin Ram:
Drama Management Evaluation for Interactive Fiction Games. AAAI Fall Symposium: Intelligent Narrative Technologies 2007: 139-146 - [c21]Santiago Ontañón, Enric Plaza:
An Argumentation-Based Framework for Deliberation in Multi-agent Systems. ArgMAS 2007: 178-196 - [c20]Santiago Ontañón, Enric Plaza:
Learning and joint deliberation through argumentation in multiagent systems. AAMAS 2007: 159 - [c19]Ashwin Ram, Santiago Ontañón, Manish Mehta:
Artificial Intelligence for Adaptive Computer Games. FLAIRS 2007: 22-29 - [c18]Santiago Ontañón, Enric Plaza:
An Argumentation Based Approach to Multi-Agent Learning. FLAIRS 2007: 405-410 - [c17]Manu Sharma, Santiago Ontañón, Christina R. Strong, Manish Mehta, Ashwin Ram:
Towards Player Preference Modeling for Drama Management in Interactive Stories. FLAIRS 2007: 571-576 - [c16]Santiago Ontañón, Kinshuk Mishra, Neha Sugandh, Ashwin Ram:
Case-Based Planning and Execution for Real-Time Strategy Games. ICCBR 2007: 164-178 - [c15]Santiago Ontañón, Enric Plaza:
Case-based Learning from Proactive Communication. IJCAI 2007: 999-1004 - 2006
- [c14]Santiago Ontañón, Enric Plaza:
Arguments and Counterexamples in Case-Based Joint Deliberation. ArgMAS 2006: 36-53 - 2005
- [c13]Jesús Cerquides, Maite López-Sánchez, Santiago Ontañón, Eloi Puertas, Anna Puig, Oriol Pujol, Dani Tost:
Classification Algorithms for Biomedical Volume Datasets. CAEPIA 2005: 143-152 - [c12]Santiago Ontañón, Enric Plaza:
Recycling data for multi-agent learning. ICML 2005: 633-640 - 2004
- [c11]Santiago Ontañón, Enric Plaza:
Justification-Based Selection of Training Examples for Case Base Reduction. ECML 2004: 310-321 - [c10]Santiago Ontañón, Enric Plaza:
Justification-Based Case Retention. ECCBR 2004: 346-360 - 2003
- [c9]Santiago Ontañón, Enric Plaza:
Learning to form dynamic committees. AAMAS 2003: 504-511 - [c8]Santiago Ontañón, Enric Plaza:
Collaborative Case Retention Strategies for CBR Agents. ICCBR 2003: 392-406 - [c7]Santiago Ontañón, Enric Plaza:
Justification-based Multiagent Learning. ICML 2003: 576-583 - 2002
- [c6]Enric Plaza, Santiago Ontañón:
Cooperative Multiagent Learning. Adaptive Agents and Multi-Agents Systems 2002: 1-17 - [c5]Santiago Ontañón, Enric Plaza:
A bartering approach to improve multiagent learning. AAMAS 2002: 386-393 - [c4]Santiago Ontañón, Enric Plaza:
Cooperative Case Bartering for Case-Based Reasoning Agents. CCIA 2002: 294-308 - [c3]Santiago Ontañón, Enric Plaza:
Case Exchange Strategies in Multiagent Learning. ECML 2002: 331-344 - 2001
- [c2]Santiago Ontañón, Enric Plaza:
Learning When to Collaborate among Learning Agents. ECML 2001: 394-405 - [c1]Enric Plaza, Santiago Ontañón:
Ensemble Case-Based Reasoning: Collaboration Policies for Multiagent Cooperative CBR. ICCBR 2001: 437-451
Parts in Books or Collections
- 2008
- [p1]Santiago Ontañón, Kinshuk Mishra, Neha Sugandh, Ashwin Ram:
Learning from Demonstration and Case-Based Planning for Real-Time Strategy Games. Soft Computing Applications in Industry 2008: 293-310
Editorship
- 2013
- [e1]Sarah Jane Delany, Santiago Ontañón:
Case-Based Reasoning Research and Development - 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8-11, 2013. Proceedings. Lecture Notes in Computer Science 7969, Springer 2013, ISBN 978-3-642-39055-5 [contents]
Reference Works
- 2019
- [r2]David Churchill, Mike Preuss, Florian Richoux, Gabriel Synnaeve, Alberto Uriarte, Santiago Ontañón, Michal Certický:
StarCraft Bots and Competitions. Encyclopedia of Computer Graphics and Games 2019 - [r1]Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss:
RTS AI Problems and Techniques. Encyclopedia of Computer Graphics and Games 2019
Informal and Other Publications
- 2023
- [i38]Robert C. Gray, Jennifer Villareale, Thomas B. Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu:
Improving Fairness in Adaptive Social Exergames via Shapley Bandits. CoRR abs/2302.09298 (2023) - [i37]Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai:
CoLT5: Faster Long-Range Transformers with Conditional Computation. CoRR abs/2303.09752 (2023) - [i36]Naveen Ram, Dima Kuzmin, Ellie Ka In Chio, Moustafa Farid Alzantot, Santiago Ontañón, Ambarish Jash, Judith Yue Li:
Multi-Task End-to-End Training Improves Conversational Recommendation. CoRR abs/2305.06218 (2023) - [i35]David C. Uthus, Santiago Ontañón, Joshua Ainslie, Mandy Guo:
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. CoRR abs/2305.11129 (2023) - [i34]Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie:
MEMORY-VQ: Compression for Tractable Internet-Scale Memory. CoRR abs/2308.14903 (2023) - [i33]Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR abs/2310.00036 (2023) - [i32]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR abs/2310.04418 (2023) - 2022
- [i31]Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher:
LogicInference: A New Dataset for Teaching Logical Inference to seq2seq Models. CoRR abs/2203.15099 (2022) - [i30]Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa:
A2C is a special case of PPO. CoRR abs/2205.09123 (2022) - 2021
- [i29]Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo:
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. CoRR abs/2101.10020 (2021) - [i28]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. CoRR abs/2102.05263 (2021) - [i27]Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontañón:
Player Modeling via Multi-Armed Bandits. CoRR abs/2102.05264 (2021) - [i26]Jichen Zhu, Santiago Ontañón:
Player-Centered AI for Automatic Game Personalization: Open Problems. CoRR abs/2102.07548 (2021) - [i25]Santiago Ontañón, Jichen Zhu:
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. CoRR abs/2103.01771 (2021) - [i24]James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontañón:
FNet: Mixing Tokens with Fourier Transforms. CoRR abs/2105.03824 (2021) - [i23]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. CoRR abs/2105.09930 (2021) - [i22]Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela:
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoRR abs/2105.13807 (2021) - [i21]Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón:
Improving Compositional Generalization in Classification Tasks via Structure Annotations. CoRR abs/2106.10434 (2021) - [i20]Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher:
Making Transformers Solve Compositional Tasks. CoRR abs/2108.04378 (2021) - [i19]Luana Ruiz, Joshua Ainslie, Santiago Ontañón:
Iterative Decoding for Compositional Generalization in Transformers. CoRR abs/2110.04169 (2021) - [i18]David Grethlein, Aleksanteri Sladek, Santiago Ontañón:
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data. CoRR abs/2111.06774 (2021) - [i17]Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang:
LongT5: Efficient Text-To-Text Transformer for Long Sequences. CoRR abs/2112.07916 (2021) - 2020
- [i16]Santiago Ontañón:
An Overview of Distance and Similarity Functions for Structured Data. CoRR abs/2002.07420 (2020) - [i15]Joshua Ainslie, Santiago Ontañón, Chris Alberti, Philip Pham, Anirudh Ravula, Sumit Sanghai:
ETC: Encoding Long and Structured Data in Transformers. CoRR abs/2004.08483 (2020) - [i14]Jichen Zhu, Katelyn Alderfer, Brian K. Smith, Bruce W. Char, Santiago Ontañón:
Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach. CoRR abs/2005.04789 (2020) - [i13]Shengyi Huang, Santiago Ontañón:
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. CoRR abs/2006.14171 (2020) - [i12]Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. CoRR abs/2007.14062 (2020) - [i11]Shengyi Huang, Santiago Ontañón:
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games. CoRR abs/2010.03956 (2020) - 2019
- [i10]Jichen Zhu, Santiago Ontañón:
Experience Management in Multi-player Games. CoRR abs/1907.02349 (2019) - [i9]Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Tracing Player Knowledge in a Parallel Programming Educational Game. CoRR abs/1908.05632 (2019) - [i8]Shengyi Huang, Santiago Ontañón:
Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS. CoRR abs/1910.12134 (2019) - 2017
- [i7]Santiago Ontañón:
Combinatorial Multi-armed Bandits for Real-Time Strategy Games. CoRR abs/1710.04805 (2017) - 2016
- [i6]Santiago Ontañón:
RHOG: A Refinement-Operator Library for Directed Labeled Graphs. CoRR abs/1604.06954 (2016) - [i5]Alberto Uriarte, Santiago Ontañón:
Combat Models for RTS Games. CoRR abs/1605.05305 (2016) - [i4]Adam James Summerville, Sam Snodgrass, Michael Mateas, Santi Ontañón Villar:
The VGLC: The Video Game Level Corpus. CoRR abs/1606.07487 (2016) - 2014
- [i3]Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón:
A semantic network-based evolutionary algorithm for modeling memetic evolution and creativity. CoRR abs/1404.7765 (2014) - 2012
- [i2]Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón:
Automated Generation of Cross-Domain Analogies via Evolutionary Computation. CoRR abs/1204.2335 (2012) - [i1]Santiago Ontañón:
Experiments with Game Tree Search in Real-Time Strategy Games. CoRR abs/1208.1940 (2012)
Coauthor Index
[j37] [j34] [j25] [j12] [j11] [c160] [c159] [c156] [c150] [c146] [c141] [c139] [c138] [c130] [c129] [c128] [c127] [c118] [c117] [c116] [c110] [c109] [c106] [c104] [c99] [c94] [c90] [c88] [c83] [c78] [c77] [c73] [c61] [c60] [c59] [c57] [c53] [c51] [c47] [c43] [i38] [i29] [i28] [i27] [i26] [i25] [i14] [i10] [i9]
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