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2020 – today
- 2021
[j14]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. J. Artif. Intell. Res. 70: 119-167 (2021)- [i13]Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe:
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes. CoRR abs/2103.09052 (2021) - 2020
- [c104]Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. AAAI 2020: 507-515 - [c103]Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI 2020: 2226-2235 - [c102]Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh:
Online Traffic Signal Control through Sample-Based Constrained Optimization. ICAPS 2020: 366-374 - [c101]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. AAMAS 2020: 771-779 - [i12]Rajiv Ranjan Kumar, Pradeep Varakantham:
On Solving Cooperative MARL Problems with a Few Good Experiences. CoRR abs/2001.07993 (2020) - [i11]Tanvi Verma, Pradeep Varakantham:
Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems. CoRR abs/2003.07088 (2020) - [i10]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. CoRR abs/2009.06051 (2020) - [i9]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. CoRR abs/2009.07925 (2020)
2010 – 2019
- 2019
- [c100]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing. ICAPS 2019: 528-538 - [c99]Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar:
Resource Constrained Deep Reinforcement Learning. ICAPS 2019: 610-620 - [c98]Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau:
Entropy Based Independent Learning in Anonymous Multi-Agent Settings. ICAPS 2019: 655-663 - [c97]Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham:
A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses. AAMAS 2019: 2003-2005 - [c96]Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar:
RE-ORG: An Online Repositioning Guidance Agent. AAMAS 2019: 2369-2371 - [c95]Tanvi Verma, Pradeep Varakantham:
Correlated Learning for Aggregation Systems. UAI 2019: 60-70 - [i8]Sanket Shah
, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR abs/1911.08799 (2019) - [i7]Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. CoRR abs/1911.08842 (2019) - 2018
- [j13]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Online spatio-temporal matching in stochastic and dynamic domains. Artif. Intell. 261: 71-112 (2018) - [j12]Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau, William Yeoh:
Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments. ACM Trans. Intell. Syst. Technol. 9(3): 24:1-24:25 (2018) - [c94]Supriyo Ghosh, Pradeep Varakantham:
Dispatch Guided Allocation Optimization for Effective Emergency Response. AAAI 2018: 775-783 - [c93]Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman:
Upping the Game of Taxi Driving in the Age of Uber. AAAI 2018: 7779-7785 - [c92]Muralidhar Konda, Supriyo Ghosh, Pradeep Varakantham:
Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems. ICAPS 2018: 330-338 - [c91]Pallavi Manohar, Pradeep Varakantham, Hoong Chuin Lau:
Bounded Rank Optimization for Effective and Efficient Emergency Response. ICAPS 2018: 375-382 - [c90]Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Pradeep Varakantham, Nghia Troung Troung, Firmansyah Bin Abd Rahman:
A Driver Guidance System for Taxis in Singapore. AAMAS 2018: 1820-1822 - [c89]Pritee Agrawal, Pradeep Varakantham, William Yeoh:
Decentralized Planning for Non-dedicated Agent Teams with Submodular Rewards in Uncertain Environments. UAI 2018: 958-967 - [i6]Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau:
Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings. CoRR abs/1803.09928 (2018) - [i5]Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar:
Resource Constrained Deep Reinforcement Learning. CoRR abs/1812.00600 (2018) - [i4]Srishti Dhamija, Pradeep Varakantham:
TuSeRACT: Turn-Sample-Based Real-Time Traffic Signal Control. CoRR abs/1812.05591 (2018) - 2017
- [j11]Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang:
Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. AI Mag. 38(3): 102-105 (2017) - [j10]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems. J. Artif. Intell. Res. 58: 387-430 (2017) - [j9]Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak, Patrick Jaillet:
Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs). J. Artif. Intell. Res. 59: 229-264 (2017) - [c88]Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar:
Decentralized Planning in Stochastic Environments with Submodular Rewards. AAAI 2017: 3021-3028 - [c87]Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet:
Online Repositioning in Bike Sharing Systems. ICAPS 2017: 200-208 - [c86]Supriyo Ghosh, Pradeep Varakantham:
Incentivizing the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems. ICAPS 2017: 373-381 - [c85]Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau:
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. ICAPS 2017: 409-418 - [c84]Rajiv Ranjan Kumar, Pradeep Varakantham:
Exploiting Anonymity and Homogeneity in Factored Dec-MDPs through Precomputed Binomial Distributions. AAMAS 2017: 732-740 - [c83]Pritee Agrawal, Pradeep Varakantham:
Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments. IJCAI 2017: 28-34 - [c82]Pradeep Varakantham, Na Fu:
Mechanism Design for Strategic Project Scheduling. IJCAI 2017: 4433-4439 - 2016
- [c81]Ping Hou, William Yeoh, Pradeep Varakantham:
Solving Risk-Sensitive POMDPs With and Without Cost Observations. AAAI 2016: 3138-3144 - [c80]Pradeep Varakantham, Na Fu, Hoong Chuin Lau:
A Proactive Sampling Approach to Project Scheduling under Uncertainty. AAAI 2016: 3195-3201 - [c79]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. AAAI 2016: 3271-3277 - [c78]Akshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon:
Robust Decision Making for Stochastic Network Design. AAAI 2016: 3857-3863 - [c77]Soujanya Lanka, Deepika Pathania, Pooja Kushalappa, Pradeep Varakantham:
NLU Framework for Voice Enabling Non-Native Applications on Smart Devices. AAAI 2016: 4359-4360 - [c76]Na Fu, Pradeep Varakantham, Hoong Chuin Lau:
Robust Partial Order Schedules for RCPSP/max with Durational Uncertainty. ICAPS 2016: 124-130 - [c75]Supriyo Ghosh, Pradeep Varakantham:
Strategic Planning for Setting Up Base Stations in Emergency Medical Systems. ICAPS 2016: 385-393 - [c74]Meghna Lowalekar, Pradeep Varakantham, Akshat Kumar:
Robust Influence Maximization: (Extended Abstract). AAMAS 2016: 1395-1396 - [c73]Hoong Chuin Lau, Aldy Gunawan, Pradeep Varakantham, Wenjie Wang:
PRESS: PeRsonalized Event Scheduling recommender System (Demonstration). AAMAS 2016: 1513-1515 - [c72]Radhika Arava, Pradeep Varakantham:
Detecting Communities Using Coordination Games: A Short Paper. ECAI 2016: 1752-1753 - [c71]Aldy Gunawan, Hoong Chuin Lau, Pradeep Varakantham, Wenjie Wang:
An Intelligent System for Personalized Conference Event Recommendation and Scheduling. ECAI 2016: 1797-1802 - [c70]Pritee Agrawal, Pradeep Varakantham, William Yeoh:
Scalable Greedy Algorithms for Task/Resource Constrained Multi-Agent Stochastic Planning. IJCAI 2016: 10-16 - [c69]Supriyo Ghosh, Michael Trick, Pradeep Varakantham:
Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems. IJCAI 2016: 3096-3102 - [c68]Pradeep Varakantham:
Sequential Decision Making for Improving Efficiency in Urban Environments. IJCAI 2016: 4090-4093 - 2015
- [j8]Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe:
An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs. Multiagent Grid Syst. 11(4): 189-226 (2015) - [j7]Na Fu, Hoong Chuin Lau, Pradeep Varakantham:
Robust execution strategies for project scheduling with unreliable resources and stochastic durations. J. Sched. 18(6): 607-622 (2015) - [c67]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. AAAI Workshop: AI for Cities 2015 - [c66]Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau:
Risk Based Optimization for Improving Emergency Medical Systems. AAAI 2015: 702-708 - [c65]Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed, Patrick Jaillet:
Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty. AAAI 2015: 3454-3460 - [c64]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. ICAPS 2015: 79-87 - [c63]Pradeep Varakantham, Hala Mostafa, Na Fu, Hoong Chuin Lau:
DIRECT: A Scalable Approach for Route Guidance in Selfish Orienteering Problems. AAMAS 2015: 483-491 - [c62]Pritee Agrawal, Akshat Kumar, Pradeep Varakantham:
Near-Optimal Decentralized Power Supply Restoration in Smart Grids. AAMAS 2015: 1275-1283 - [c61]Supriyo Ghosh, Akshat Kumar, Pradeep Varakantham:
Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs. IJCAI 2015: 411-417 - [c60]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. SOCS 2015: 230-231 - [c59]William Yeoh, Pradeep Varakantham, Xiaoxun Sun, Sven Koenig:
Incremental DCOP Search Algorithms for Solving Dynamic DCOP Problems. WI-IAT (2) 2015: 257-264 - [c58]Jiali Du, Pradeep Varakantham, Akshat Kumar, Shih-Fen Cheng:
Learning and Controlling Network Diffusion in Dependent Cascade Models. WI-IAT (2) 2015: 336-343 - 2014
- [j6]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood:
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility. Auton. Agents Multi Agent Syst. 28(4): 605-636 (2014) - [c57]Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Decentralized Stochastic Planning with Anonymity in Interactions. AAAI 2014: 2505-2512 - [c56]Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe:
STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation. AAAI 2014: 2966-2971 - [c55]Ping Hou, William Yeoh, Pradeep Varakantham:
Revisiting Risk-Sensitive MDPs: New Algorithms and Results. ICAPS 2014 - [c54]Jun-young Kwak, Debarun Kar, William B. Haskell, Pradeep Varakantham, Milind Tambe:
Building THINC: user incentivization and meeting rescheduling for energy savings. AAMAS 2014: 925-932 - [c53]Jiali Du, Akshat Kumar, Pradeep Varakantham:
On understanding diffusion dynamics of patrons at a theme park. AAMAS 2014: 1501-1502 - [c52]Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe:
Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. ECAI 2014: 819-824 - [c51]Archie C. Chapman, Pradeep Varakantham:
Marginal Contribution Stochastic Games for Dynamic Resource Allocation. PRIMA 2014: 333-340 - [i3]Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao:
Robust Local Search for Solving RCPSP/max with Durational Uncertainty. CoRR abs/1401.4595 (2014) - 2013
- [c50]Pradeep Varakantham, Na Fu, William Yeoh, Shih-Fen Cheng, Hoong Chuin Lau:
Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks. ADT 2013: 375-386 - [c49]Pradeep Varakantham, Akshat Kumar:
Optimization Approaches for Solving Chance Constrained Stochastic Orienteering Problems. ADT 2013: 387-398 - [c48]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood:
TESLA: an energy-saving agent that leverages schedule flexibility. AAMAS 2013: 965-972 - [c47]Pradeep Varakantham, Hoong Chuin Lau, Zhi Yuan:
Scalable Randomized Patrolling for Securing Rapid Transit Networks. IAAI 2013 - [c46]Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Regret based Robust Solutions for Uncertain Markov Decision Processes. NIPS 2013: 881-889 - [c45]Shih-Fen Cheng, Larry Lin, Jiali Du, Hoong Chuin Lau, Pradeep Varakantham:
An agent-based simulation approach to experience management in theme parks. Winter Simulation Conference 2013: 1527-1538 - 2012
- [j5]Sam Blisard, Ted Carmichael, Li Ding, Tim Finin, Wende Frost, Arthur C. Graesser, Mirsad Hadzikadic, Lalana Kagal, Geert-Jan M. Kruijff, Pat Langley, James C. Lester, Deborah L. McGuinness, Jack Mostow, Panagiotis Papadakis, Fiora Pirri, Rashmi Prasad, Svetlana Stoyanchev, Pradeep Varakantham:
Reports of the AAAI 2011 Fall Symposia. AI Mag. 33(1): 71-78 (2012) - [j4]Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao:
Robust Local Search for Solving RCPSP/max with Durational Uncertainty. J. Artif. Intell. Res. 43: 43-86 (2012) - [c44]Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed:
Decision Support for Agent Populations in Uncertain and Congested Environments. AAAI 2012 - [c43]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood:
SAVES: a sustainable multiagent application to conserve building energy considering occupants. AAMAS 2012: 21-28 - [c42]Simon Andrew Williamson, Pradeep Varakantham, Ong Chen Hui, Debin Gao:
Active malware analysis using stochastic games. AAMAS 2012: 29-36 - [c41]Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng:
Lagrangian relaxation for large-scale multi-agent planning. AAMAS 2012: 1227-1228 - [c40]Pradeep Varakantham, Janusz Marecki:
Delayed observation planning in partially observable domains. AAMAS 2012: 1235-1236 - [c39]Pradeep Varakantham, William Yeoh, Prasanna Velagapudi, Katia P. Sycara, Paul Scerri:
Prioritized shaping of models for solving DEC-POMDPs. AAMAS 2012: 1269-1270 - [c38]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood:
Sustainable multiagent application to conserve energy (demonstration). AAMAS 2012: 1455-1456 - [c37]Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng:
Lagrangian Relaxation for Large-Scale Multi-agent Planning. IAT 2012: 494-501 - [c36]Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng:
Uncertain Congestion Games with Assorted Human Agent Populations. UAI 2012: 44-53 - [c35]Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen:
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. UAI 2012: 448-458 - [i2]Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng:
Uncertain Congestion Games with Assorted Human Agent Populations. CoRR abs/1210.4848 (2012) - [i1]Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen:
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. CoRR abs/1210.4874 (2012) - 2011
- [c34]Prasanna Velagapudi, Pradeep Varakantham, Katia P. Sycara, Paul Scerri:
Distributed model shaping for scaling to decentralized POMDPs with hundreds of agents. AAMAS 2011: 955-962 - [c33]William Yeoh, Pradeep Varakantham, Xiaoxun Sun, Sven Koenig:
Incremental DCOP search algorithms for solving dynamic DCOPs. AAMAS 2011: 1069-1070 - [c32]Pradeep Varakantham, Shih-Fen Cheng, Nguyen Thi Duon:
Decentralized decision support for an agent population in dynamic and uncertain domains. AAMAS 2011: 1147-1148 - [c31]Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato:
Adaptive decision support for structured organizations: a case for OrgPOMDPs. AAMAS 2011: 1149-1150 - [c30]Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato:
Decision Support in Organizations: A Case for OrgPOMDPs. IAT 2011: 163-170 - [c29]Pradeep Varakantham:
Social Model Shaping for Solving Generic DEC-POMDPs. IAT 2011: 180-187 - 2010
- [j3]Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Janusz Marecki, Pradeep Varakantham, Milind Tambe:
Introducing communication in Dis-POMDPs with locality of interaction. Web Intell. Agent Syst. 8(3): 303-311 (2010) - [c28]Na Fu, Pradeep Varakantham, Hoong Chuin Lau:
Towards Finding Robust Execution Strategies for RCPSP/max with Durational Uncertainty. ICAPS 2010: 73-80 - [c27]Janusz Marecki, Pradeep Varakantham:
Risk-sensitive planning in partially observable environments. AAMAS 2010: 1357-1368 - [c26]Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri:
Analyzing the impact of human bias on human-agent teams in resource allocation domains. AAMAS 2010: 1593-1594 - [c25]Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri:
Effect of Human Biases on Human-Agent Teams. IAT 2010: 327-334 - [c24]Janusz Marecki, Mudhakar Srivatsa, Pradeep Varakantham:
A Decision Theoretic Approach to Data Leakage Prevention. SocialCom/PASSAT 2010: 776-784
2000 – 2009
- 2009
- [c23]Pradeep Varakantham, Jun-young Kwak, Matthew E. Taylor, Janusz Marecki, Paul Scerri, Milind Tambe:
Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping. ICAPS 2009 - [c22]William Yeoh, Pradeep Varakantham, Sven Koenig:
Caching schemes for DCOP search algorithms. AAMAS (1) 2009: 609-616 - 2008
- [c21]Pradeep Varakantham, Stephen F. Smith:
Linear Relaxation Techniques for Task Management in Uncertain Settings. ICAPS 2008: 363-371 - [c20]Janusz Marecki, Tapana Gupta, Pradeep Varakantham, Milind Tambe, Makoto Yokoo:
Not all agents are equal: scaling up distributed POMDPs for agent networks. AAMAS (1) 2008: 485-492 - [c19]Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Milind Tambe, Janusz Marecki, Pradeep Varakantham:
Introducing Communication in Dis-POMDPs with Locality of Interaction. IAT 2008: 169-175 - 2007
- [c18]Pradeep Varakantham, Janusz Marecki, Milind Tambe, Makoto Yokoo:
SPIDER Attack on a Network of POMDPs: Towards Quality Bounded Solutions. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents 2007: 68-75 - [c17]Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, Milind Tambe, Makoto Yokoo:
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies. AAMAS 2007: 218 - [c16]Tapana Gupta, Pradeep Varakantham, Timothy W. Rauenbusch, Milind Tambe:
Demonstration of teamwork in uncertain domains using hybrid BDI-POMDP systems. AAMAS 2007: 264 - [c15]Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe:
Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs. IJCAI 2007: 2638-2644 - 2006
- [j2]Rajiv T. Maheswaran, Jonathan P. Pearce, Emma Bowring, Pradeep Varakantham, Milind Tambe:
Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications. Auton. Agents Multi Agent Syst. 13(1): 27-60 (2006) - [c14]Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham, David V. Pynadath, Paul Scerri:
Electric Elves: What Went Wrong and Why. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications 2006: 34-39 - [c13]Yoonheui Kim, Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo:
Exploiting Locality of Interaction in Networked Distributed POMDPs. AAAI Spring Symposium: Distributed Plan and Schedule Management 2006: 41-48 - [c12]Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo:
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces. AAMAS 2006: 289-296 - [c11]Nathan Schurr, Pradeep Varakantham, Emma Bowring, Milind Tambe, Barbara J. Grosz:
Asimovian Multiagents: Applying Laws of Robotics to Teams of Humans and Agents. PROMAS 2006: 41-55 - 2005
- [c10]Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo:
Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs. AAAI 2005: 133-139 - [c9]Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe:
Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 60-67 - [c8]Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe:
Practical POMDPs for Personal Assistant Domains. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 68-75 - [c7]Milind Tambe, Emma Bowring, Hyuckchul Jung, Gal A. Kaminka, Rajiv T. Maheswaran, Janusz Marecki, Pragnesh Jay Modi, Ranjit Nair, Stephen Okamoto, Jonathan P. Pearce, Praveen Paruchuri, David V. Pynadath, Paul Scerri, Nathan Schurr, Pradeep Varakantham:
Conflicts in teamwork: hybrids to the rescue. AAMAS 2005: 3-10 - [c6]