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ORCIDKenneth O. Stanley
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- affiliation: University of Central Florida, Orlando, USA
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2020 – today
- 2024
[c118]Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. ICLR 2024- [c117]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR 2024 - 2023
- [i33]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR abs/2306.01711 (2023) - [i32]Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. CoRR abs/2310.13032 (2023) - 2022
- [i31]Joel Lehman, Jonathan Gordon, Shawn Jain, Kamal Ndousse, Cathy Yeh, Kenneth O. Stanley:
Evolution through Large Models. CoRR abs/2206.08896 (2022) - 2021
- [j40]Adrien Ecoffet
, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
First return, then explore. Nat. 590(7847): 580-586 (2021) - [c116]Sebastian Risi, Kenneth O. Stanley:
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures. AAAI 2021: 12391-12399 - [c115]Navid Kardan, Ankit Sharma, Kenneth O. Stanley:
Towards Consistent Predictive Confidence through Fitted Ensembles. IJCNN 2021: 1-9 - [i30]Navid Kardan, Ankit Sharma, Kenneth O. Stanley:
Towards Consistent Predictive Confidence through Fitted Ensembles. CoRR abs/2106.12070 (2021) - 2020
- [j39]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020) - [c114]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. ECAI 2020: 992-1001 - [c113]Jonathan C. Brant, Kenneth O. Stanley:
Diversity preservation in minimal criterion coevolution through resource limitation. GECCO 2020: 58-66 - [c112]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML 2020: 9206-9216 - [c111]Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley:
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. ICML 2020: 9940-9951 - [i29]Sebastian Risi, Kenneth O. Stanley:
Improving Deep Neuroevolution via Deep Innovation Protection. CoRR abs/2001.01683 (2020) - [i28]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. CoRR abs/2002.09571 (2020) - [i27]Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley:
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. CoRR abs/2002.10585 (2020) - [i26]Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley:
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. CoRR abs/2003.08536 (2020) - [i25]Jiale Zhi, Rui Wang, Jeff Clune, Kenneth O. Stanley:
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods. CoRR abs/2003.11164 (2020) - [i24]Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
First return then explore. CoRR abs/2004.12919 (2020) - [i23]Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley:
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR abs/2005.13092 (2020)
2010 – 2019
- 2019
- [j38]Norman H. Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor:
Open-Ended Evolution and Open-Endedness: Editorial Introduction to the Open-Ended Evolution I Special Issue. Artif. Life 25(1): 1-3 (2019) - [j37]Norman H. Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor:
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue. Artif. Life 25(2): 93-103 (2019) - [j36]Kenneth O. Stanley:
Why Open-Endedness Matters. Artif. Life 25(3): 232-235 (2019) - [j35]Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen:
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1(1): 24-35 (2019) - [c110]Jonathan C. Brant, Kenneth O. Stanley:
Benchmarking open-endedness in minimal criterion coevolution. GECCO 2019: 72-80 - [c109]Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman:
Evolvability ES: scalable and direct optimization of evolvability. GECCO 2019: 107-115 - [c108]Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
POET: open-ended coevolution of environments and their optimized solutions. GECCO 2019: 142-151 - [c107]Sebastian Risi, Kenneth O. Stanley:
Deep neuroevolution of recurrent and discrete world models. GECCO 2019: 456-462 - [c106]Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley:
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. ICLR (Poster) 2019 - [i22]Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. CoRR abs/1901.01753 (2019) - [i21]Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Go-Explore: a New Approach for Hard-Exploration Problems. CoRR abs/1901.10995 (2019) - [i20]Sebastian Risi, Kenneth O. Stanley:
Deep Neuroevolution of Recurrent and Discrete World Models. CoRR abs/1906.08857 (2019) - [i19]Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman:
Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR abs/1907.06077 (2019) - [i18]Norman H. Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor:
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue. CoRR abs/1909.04430 (2019) - [i17]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR abs/1912.07768 (2019) - 2018
- [j34]Joost Huizinga, Kenneth O. Stanley, Jeff Clune:
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. Artif. Life 24(3) (2018) - [j33]Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi:
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks. Neural Networks 108: 48-67 (2018) - [c105]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
Safe mutations for deep and recurrent neural networks through output gradients. GECCO 2018: 117-124 - [c104]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
ES is more than just a traditional finite-difference approximator. GECCO 2018: 450-457 - [c103]Rui Wang, Jeff Clune, Kenneth O. Stanley:
VINE: an open source interactive data visualization tool for neuroevolution. GECCO (Companion) 2018: 1562-1564 - [c102]Thomas Miconi, Kenneth O. Stanley, Jeff Clune:
Differentiable plasticity: training plastic neural networks with backpropagation. ICML 2018: 3556-3565 - [c101]Kenneth O. Stanley:
Answering the Call of Open-Endedness. ALIFE 2018: 7 - [c100]Joel Lehman, Kenneth O. Stanley:
On the Potential Benefits of Knowing Everything. ALIFE 2018: 558-565 - [c99]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS 2018: 5032-5043 - [i16]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018) - [i15]Thomas Miconi, Jeff Clune, Kenneth O. Stanley:
Differentiable plasticity: training plastic neural networks with backpropagation. CoRR abs/1804.02464 (2018) - [i14]Rui Wang, Jeff Clune, Kenneth O. Stanley:
VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution. CoRR abs/1805.01141 (2018) - 2017
- [c98]Justin K. Pugh, Lisa B. Soros, Rafaela Frota, Kevin Negy, Kenneth O. Stanley:
Major evolutionary transitions in the Voxelbuild virtual sandbox game. ECAL 2017: 553-560 - [c97]Jonathan C. Brant, Kenneth O. Stanley:
Minimal criterion coevolution: a new approach to open-ended search. GECCO 2017: 67-74 - [c96]Lisa B. Soros, Justin K. Pugh, Kenneth O. Stanley:
Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativity. GECCO (Companion) 2017: 95-96 - [c95]Kenneth O. Stanley:
Generative and developmental systems tutorial. GECCO (Companion) 2017: 872-901 - [c94]Navid Kardan, Kenneth O. Stanley:
Mitigating fooling with competitive overcomplete output layer neural networks. IJCNN 2017: 518-525 - [i13]Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi:
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks. CoRR abs/1703.10371 (2017) - [i12]Joost Huizinga, Kenneth O. Stanley, Jeff Clune:
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. CoRR abs/1704.05143 (2017) - [i11]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR abs/1712.06560 (2017) - [i10]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR abs/1712.06563 (2017) - [i9]Xingwen Zhang, Jeff Clune, Kenneth O. Stanley:
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent. CoRR abs/1712.06564 (2017) - [i8]Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR abs/1712.06567 (2017) - [i7]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR abs/1712.06568 (2017) - 2016
- [j32]Tim Taylor, Joshua Evan Auerbach, Josh C. Bongard, Jeff Clune, Simon J. Hickinbotham, Charles Ofria, Mizuki Oka, Sebastian Risi, Kenneth O. Stanley, Jason Yosinski:
WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web. Artif. Life 22(3): 364-407 (2016) - [j31]Tim Taylor, Mark A. Bedau, Alastair Channon, David H. Ackley, Wolfgang Banzhaf, Guillaume Beslon, Emily L. Dolson, Tom Froese, Simon J. Hickinbotham, Takashi Ikegami, Barry McMullin, Norman H. Packard, Steen Rasmussen, Nathaniel Virgo, Eran Agmon, Edward Clark, Simon McGregor, Charles Ofria, Glen E. P. Ropella, Lee Spector, Kenneth O. Stanley, Adam Stanton, Christopher Steven Timperley, Anya E. Vostinar, Michael J. Wiser:
Open-Ended Evolution: Perspectives from the OEE Workshop in York. Artif. Life 22(3): 408-423 (2016) - [j30]Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley:
Quality Diversity: A New Frontier for Evolutionary Computation. Frontiers Robotics AI 3: 40 (2016) - [j29]Joel Lehman, Bryan Wilder, Kenneth O. Stanley:
On the Critical Role of Divergent Selection in Evolvability. Frontiers Robotics AI 3: 45 (2016) - [j28]Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley:
Petalz: Search-Based Procedural Content Generation for the Casual Gamer. IEEE Trans. Comput. Intell. AI Games 8(3): 244-255 (2016) - [c93]Kenneth O. Stanley, Nick Cheney, Lisa B. Soros:
How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution. ALIFE 2016: 208-215 - [c92]Kenneth O. Stanley, Justin K. Pugh, Joshua Bowren:
Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences. ALIFE 2016: 382-389 - [c91]Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley:
An Extended Study of Quality Diversity Algorithms. GECCO (Companion) 2016: 19-20 - [c90]Gregory Morse, Kenneth O. Stanley:
Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks. GECCO 2016: 477-484 - [c89]Kenneth O. Stanley:
Generative and Developmental Systems Tutorial. GECCO (Companion) 2016: 609-638 - [c88]Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley:
Searching for Quality Diversity When Diversity is Unaligned with Quality. PPSN 2016: 880-889 - [i6]Navid Kardan, Kenneth O. Stanley:
Fitted Learning: Models with Awareness of their Limits. CoRR abs/1609.02226 (2016) - 2015
- [b1]Kenneth O. Stanley, Joel Lehman:
Why Greatness Cannot Be Planned - The Myth of the Objective. Springer 2015, ISBN 978-3-319-15523-4, pp. 1-135 - [j27]Bryan Wilder, Kenneth O. Stanley:
Reconciling explanations for the evolution of evolvability. Adapt. Behav. 23(3): 171-179 (2015) - [j26]Joel Lehman, Kenneth O. Stanley:
Investigating Biological Assumptions through Radical Reimplementation. Artif. Life 21(1): 21-46 (2015) - [j25]Paul A. Szerlip, Kenneth O. Stanley:
Indirectly Encoding Running and Jumping Sodarace Creatures for Artificial Life. Artif. Life 21(4): 432-444 (2015) - [j24]William L. Raffe, Fabio Zambetta, Xiaodong Li, Kenneth O. Stanley:
Integrated Approach to Personalized Procedural Map Generation Using Evolutionary Algorithms. IEEE Trans. Comput. Intell. AI Games 7(2): 139-155 (2015) - [c87]Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Kenneth O. Stanley:
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation. AAAI 2015: 2979-2985 - [c86]Kenneth O. Stanley:
Generative and Developmental Systems Tutorial. GECCO (Companion) 2015: 503-532 - [c85]Justin K. Pugh, Lisa B. Soros, Paul A. Szerlip, Kenneth O. Stanley:
Confronting the Challenge of Quality Diversity. GECCO 2015: 967-974 - 2014
- [j23]Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley:
Functional Scaffolding for Composing Additional Musical Voices. Comput. Music. J. 38(4): 80-99 (2014) - [c84]Justin K. Pugh, Andrea Soltoggio, Kenneth O. Stanley:
Real-time Hebbian Learning from Autoencoder Features for Control Tasks. ALIFE 2014: 202-209 - [c83]Lisa B. Soros, Kenneth O. Stanley:
Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria. ALIFE 2014: 793-800 - [c82]Paul A. Szerlip, Kenneth O. Stanley:
Steps Toward a Modular Library for Turning Any Evolutionary Domain into an Online Interactive Platform. ALIFE 2014: 900-907 - [c81]Justin K. Pugh, Skyler Goodell, Kenneth O. Stanley:
Directional communication in evolved multiagent teams. GECCO 2014: 217-224 - [c80]Brian G. Woolley, Kenneth O. Stanley:
A novel human-computer collaboration: combining novelty search with interactive evolution. GECCO 2014: 233-240 - [c79]Sebastian Risi, Kenneth O. Stanley:
Guided self-organization in indirectly encoded and evolving topographic maps. GECCO 2014: 713-720 - [c78]Kenneth O. Stanley:
Generative and developmental systems tutorial. GECCO (Companion) 2014: 765-794 - [p2]David B. D'Ambrosio, Jason Gauci, Kenneth O. Stanley:
HyperNEAT: The First Five Years. Growing Adaptive Machines 2014: 159-185 - [i5]Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Kenneth O. Stanley:
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation. CoRR abs/1406.1833 (2014) - [i4]Paul A. Szerlip, Kenneth O. Stanley:
A Proposed Infrastructure for Adding Online Interaction to Any Evolutionary Domain. CoRR abs/1407.3000 (2014) - 2013
- [j22]Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley:
Encouraging reactivity to create robust machines. Adapt. Behav. 21(6): 484-500 (2013) - [j21]David B. D'Ambrosio, Kenneth O. Stanley:
Scalable multiagent learning through indirect encoding of policy geometry. Evol. Intell. 6(1): 1-26 (2013) - [c77]Joel Lehman, Kenneth O. Stanley:
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation. AAAI Fall Symposia 2013 - [c76]Kenneth O. Stanley:
The Case for Evolution in Engineering Brains. AAAI Fall Symposia 2013 - [c75]Paul A. Szerlip, Kenneth O. Stanley:
Indirectly Encoded Sodarace for Artificial Life. ECAL 2013: 218-225 - [c74]Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen:
Effective diversity maintenance in deceptive domains. GECCO 2013: 215-222 - [c73]Sebastian Risi, Kenneth O. Stanley:
Confronting the challenge of learning a flexible neural controller for a diversity of morphologies. GECCO 2013: 255-262 - [c72]Gregory Morse, Sebastian Risi, Charles R. Snyder, Kenneth O. Stanley:
Single-unit pattern generators for quadruped locomotion. GECCO 2013: 719-726 - [c71]Justin K. Pugh, Kenneth O. Stanley:
Evolving multimodal controllers with HyperNEAT. GECCO 2013: 735-742 - [c70]Kenneth O. Stanley:
Generative and developmental systems. GECCO (Companion) 2013: 797-826 - [c69]Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley:
Implications from Music Generation for Music Appreciation. ICCC 2013: 92-96 - [c68]Andreas Lang, Kenneth O. Stanley:
NeuroEvolutionary meta-optimization. IJCNN 2013: 1-8 - [p1]Julian Togelius, Alex J. Champandard, Pier Luca Lanzi, Michael Mateas, Ana Paiva, Mike Preuss, Kenneth O. Stanley:
Procedural Content Generation: Goals, Challenges and Actionable Steps. Artificial and Computational Intelligence in Games 2013: 61-75 - [i3]Joel Lehman, Kenneth O. Stanley:
Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt. CoRR abs/1302.1143 (2013) - 2012
- [j20]Sebastian Risi, Kenneth O. Stanley:
An Enhanced Hypercube-Based Encoding for Evolving the Placement, Density, and Connectivity of Neurons. Artif. Life 18(4): 331-363 (2012) - [j19]Andrea Soltoggio, Kenneth O. Stanley:
From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation. Neural Networks 34: 28-41 (2012) - [c67]Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley:
Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. AIIDE 2012 - [c66]Paul A. Szerlip, Amy K. Hoover, Kenneth O. Stanley:
Demo: A Computer-Assisted Approach to Composing with MaestroGenesis. MUME@AIIDE 2012 - [c65]Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley:
Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. ALIFE 2012 - [c64]Joel Lehman, Kenneth O. Stanley:
Beyond Open-endedness: Quantifying Impressiveness. ALIFE 2012 - [c63]Kenneth O. Stanley:
How AI can change the way we play games. Conf. Computing Frontiers 2012: 299-300 - [c62]Kenneth O. Stanley:
Evolving neural networks. GECCO (Companion) 2012: 805-826 - [c61]Kenneth O. Stanley:
Generative and developmental systems. GECCO (Companion) 2012: 961-982 - [c60]Amy K. Hoover, Paul A. Szerlip, Marie E. Norton, Trevor A. Brindle, Zachary Merritt, Kenneth O. Stanley:
Generating a Complete Multipart Musical Composition from a Single Monophonic Melody with Functional Scaffolding. ICCC 2012: 111-118 - [c59]David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Multirobot Behavior Synchronization through Direct Neural Network Communication. ICIRA (2) 2012: 603-614 - [c58]Sebastian Risi, Kenneth O. Stanley:
A unified approach to evolving plasticity and neural geometry. IJCNN 2012: 1-8 - [i2]Brian G. Woolley, Kenneth O. Stanley:
Exploring Promising Stepping Stones by Combining Novelty Search with Interactive Evolution. CoRR abs/1207.6682 (2012) - 2011
- [j18]Shafaq Chaudhry, Victor C. Hung, Ratan K. Guha, Kenneth O. Stanley:
Pareto-based evolutionary computational approach for wireless sensor placement. Eng. Appl. Artif. Intell. 24(3): 409-425 (2011) - [j17]Joel Lehman, Kenneth O. Stanley:
Abandoning Objectives: Evolution Through the Search for Novelty Alone. Evol. Comput. 19(2): 189-223 (2011) - [j16]Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, Kenneth O. Stanley:
Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space. Evol. Comput. 19(3): 373-403 (2011) - [j15]Julian Togelius, Georgios N. Yannakakis, Kenneth O. Stanley, Cameron Browne:
Search-Based Procedural Content Generation: A Taxonomy and Survey. IEEE Trans. Comput. Intell. AI Games 3(3): 172-186 (2011) - [j14]Jeff Clune, Kenneth O. Stanley, Robert T. Pennock, Charles Ofria:
On the Performance of Indirect Encoding Across the Continuum of Regularity. IEEE Trans. Evol. Comput. 15(3): 346-367 (2011) - [c57]Joel Lehman, Kenneth O. Stanley:
Improving evolvability through novelty search and self-adaptation. IEEE Congress on Evolutionary Computation 2011: 2693-2700 - [c56]Joel Lehman, Kenneth O. Stanley:
Evolving a diversity of virtual creatures through novelty search and local competition. GECCO 2011: 211-218 - [c55]Jason Gauci, Kenneth O. Stanley:
Evolving neural networks for geometric game-tree pruning. GECCO 2011: 379-386 - [c54]Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley:
Interactively evolving harmonies through functional scaffolding. GECCO 2011: 387-394 - [c53]Brian G. Woolley, Kenneth O. Stanley:
On the deleterious effects of a priori objectives on evolution and representation. GECCO 2011: 957-964 - [c52]Phillip Verbancsics, Kenneth O. Stanley:
Constraining connectivity to encourage modularity in HyperNEAT. GECCO 2011: 1483-1490 - [c51]Sebastian Risi, Kenneth O. Stanley:
Enhancing es-hyperneat to evolve more complex regular neural networks. GECCO 2011: 1539-1546 - [c50]David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Task switching in multirobot learning through indirect encoding. IROS 2011: 2802-2809 - [i1]Risto Miikkulainen, Kenneth O. Stanley:
Competitive Coevolution through Evolutionary Complexification. CoRR abs/1107.0037 (2011) - 2010
- [j13]Sebastian Risi, Charles E. Hughes, Kenneth O. Stanley:
Evolving plastic neural networks with novelty search. Adapt. Behav. 18(6): 470-491 (2010) - [j12]Phillip Verbancsics, Kenneth O. Stanley:
Evolving Static Representations for Task Transfer. J. Mach. Learn. Res. 11: 1737-1769 (2010) - [j11]Jason Gauci, Kenneth O. Stanley:
Autonomous Evolution of Topographic Regularities in Artificial Neural Networks. Neural Comput. 22(7): 1860-1898 (2010) - [c49]David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Evolving policy geometry for scalable multiagent learning. AAMAS 2010: 731-738 - [c48]Julian Togelius, Georgios N. Yannakakis, Kenneth O. Stanley, Cameron Browne:
Search-Based Procedural Content Generation. EvoApplications (1) 2010: 141-150 - [c47]Greg A. Dubbin, Kenneth O. Stanley:
Learning to Dance through Interactive Evolution. EvoApplications (2) 2010: 331-340 - [c46]Erin J. Hastings, Kenneth O. Stanley:
Interactive genetic engineering of evolved video game content. PCGames@FDG 2010: 8:1-8:4 - [c45]Joel Lehman, Kenneth O. Stanley:
Revising the evolutionary computation abstraction: minimal criteria novelty search. GECCO 2010: 103-110 - [c44]Phillip Verbancsics, Kenneth O. Stanley:
Transfer learning through indirect encoding. GECCO 2010: 547-554 - [c43]Sebastian Risi, Joel Lehman, Kenneth O. Stanley:
Evolving the placement and density of neurons in the hyperneat substrate. GECCO 2010: 563-570 - [c42]Joel Lehman, Kenneth O. Stanley:
Efficiently evolving programs through the search for novelty. GECCO 2010: 837-844 - [c41]Kenneth O. Stanley:
Generative and developmental systems. GECCO (Companion) 2010: 2841-2862 - [c40]Kenneth O. Stanley:
To achieve our highest goals, we must be willing to abandon them. OOPSLA 2010: 3 - [c39]Brian G. Woolley, Kenneth O. Stanley:
Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments. PPSN (2) 2010: 270-279 - [c38]Jason Gauci, Kenneth O. Stanley:
Indirect Encoding of Neural Networks for Scalable Go. PPSN (1) 2010: 354-363 - [c37]Sebastian Risi, Kenneth O. Stanley:
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules. SAB 2010: 533-543
2000 – 2009
- 2009
- [j10]Kenneth O. Stanley, David B. D'Ambrosio, Jason Gauci:
A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks. Artif. Life 15(2): 185-212 (2009) - [j9]Amy K. Hoover, Kenneth O. Stanley:
Exploiting functional relationships in musical composition. Connect. Sci. 21(2&3): 227-251 (2009) - [j8]Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley:
Automatic Content Generation in the Galactic Arms Race Video Game. IEEE Trans. Comput. Intell. AI Games 1(4): 245-263 (2009) - [j7]Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley:
Interactive Evolution of Particle Systems for Computer Graphics and Animation. IEEE Trans. Evol. Comput. 13(2): 418-432 (2009) - [c36]Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley:
Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game. AIIDE 2009 - [c35]Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley:
Evolving content in the Galactic Arms Race video game. CIG 2009: 241-248 - [c34]Kenneth O. Stanley:
Practical issues in evolving neural network controllers for video game agents. CIG 2009 - [c33]Sebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes, Kenneth O. Stanley:
How novelty search escapes the deceptive trap of learning to learn. GECCO 2009: 153-160 - [c32]Risto Miikkulainen, Kenneth O. Stanley:
Evolving neural networks. GECCO (Companion) 2009: 2977-3014 - [c31]Kenneth O. Stanley:
Generative and developmental systems. GECCO (Companion) 2009: 3335-3354 - 2008
- [c30]Jason Gauci, Kenneth O. Stanley:
A Case Study on the Critical Role of Geometric Regularity in Machine Learning. AAAI 2008: 628-633 - [c29]Joel Lehman, Kenneth O. Stanley:
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty. ALIFE 2008: 329-336 - [c28]Amy K. Hoover, Michael P. Rosario, Kenneth O. Stanley:
Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs. EvoWorkshops 2008: 412-422 - [c27]David B. D'Ambrosio, Kenneth O. Stanley:
Generative encoding for multiagent learning. GECCO 2008: 819-826 - [c26]Risto Miikkulainen, Kenneth O. Stanley:
Evolving neural networks. GECCO (Companion) 2008: 2829-2848 - [c25]Kenneth O. Stanley:
Generative and developmental systems. GECCO (Companion) 2008: 2849-2864 - 2007
- [j6]Kenneth O. Stanley:
Compositional pattern producing networks: A novel abstraction of development. Genet. Program. Evolvable Mach. 8(2): 131-162 (2007) - [c24]Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley:
NEAT Particles: Design, Representation, and Animation of Particle System Effects. CIG 2007: 154-160 - [c23]David B. D'Ambrosio, Kenneth O. Stanley:
A novel generative encoding for exploiting neural network sensor and output geometry. GECCO 2007: 974-981 - [c22]Jason Gauci, Kenneth O. Stanley:
Generating large-scale neural networks through discovering geometric regularities. GECCO 2007: 997-1004 - [c21]Edwin D. de Jong, Kenneth O. Stanley, R. Paul Wiegand:
Introductory tutorial on coevolution. GECCO (Companion) 2007: 3133-3157 - 2006
- [c20]Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen:
Real-Time Evolution of Neural Networks in the NERO Video Game. AAAI 2006: 1671-1674 - [c19]Kenneth O. Stanley, Igor Karpov, Risto Miikkulainen, Aliza Gold:
Real-Time Interactive Learning in the NERO Video Game. AAAI 2006: 1953-1954 - [c18]Kenneth O. Stanley:
Exploiting Regularity Without Development. AAAI Fall Symposium: Developmental Systems 2006: 49- - [c17]Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, Igor Karpov:
Incorporating Advice into Neuroevolution of Adaptive Agents. AIIDE 2006: 98-104 - [c16]Kenneth O. Stanley, Igor Karpov, Risto Miikkulainen, Aliza Gold:
The NERO Video Game. AIIDE 2006: 151-152 - [c15]Igor Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen:
Integration and Evaluation of Exploration-Based Learning in Games. CIG 2006: 39-44 - [c14]German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen:
Coevolution of neural networks using a layered pareto archive. GECCO 2006: 329-336 - [c13]Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Michael E. Samples, Rini Sherony:
Evolving a real-world vehicle warning system. GECCO 2006: 1681-1688 - 2005
- [j5]Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Real-time neuroevolution in the NERO video game. IEEE Trans. Evol. Comput. 9(6): 653-668 (2005) - [c12]Thomas D'Silva, Roy Janik, Micahel Chrien, Kenneth O. Stanley, Risto Miikkulainen:
Retaining Learned Behavior During Real-Time Neuroevolution. AIIDE 2005: 39-44 - [c11]Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen:
Real-time Learning in the NERO Video Game. AIIDE 2005: 159-160 - [c10]Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Real-Time Evolution in the NERO Video Game (Winner of CIG 2005 Best Paper Award). CIG 2005 - [c9]Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen:
Towards an empirical measure of evolvability. GECCO Workshops 2005: 257-264 - [c8]Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl:
Automatic feature selection in neuroevolution. GECCO 2005: 1225-1232 - [c7]Kenneth O. Stanley, Nate Kohl, Rini Sherony, Risto Miikkulainen:
Neuroevolution of an automobile crash warning system. GECCO 2005: 1977-1984 - 2004
- [j4]Kenneth O. Stanley, Risto Miikkulainen:
Competitive Coevolution through Evolutionary Complexification. J. Artif. Intell. Res. 21: 63-100 (2004) - [c6]Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen:
Evolving Reusable Neural Modules. GECCO (2) 2004: 69-81 - [c5]Kenneth O. Stanley, Risto Miikkulainen:
Evolving a Roving Eye for Go. GECCO (2) 2004: 1226-1238 - 2003
- [j3]Kenneth O. Stanley, Risto Miikkulainen:
A Taxonomy for Artificial Embryogeny. Artif. Life 9(2): 93-130 (2003) - [c4]Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Evolving adaptive neural networks with and without adaptive synapses. IEEE Congress on Evolutionary Computation 2003: 2557-2564 - 2002
- [j2]Kenneth O. Stanley, Risto Miikkulainen:
Evolving Neural Network through Augmenting Topologies. Evol. Comput. 10(2): 99-127 (2002) - [c3]Kenneth O. Stanley, Risto Miikkulainen:
Efficient evolution of neural network topologies. IEEE Congress on Evolutionary Computation 2002: 1757-1762 - [c2]Kenneth O. Stanley, Risto Miikkulainen:
Continual Coevolution Through Complexification. GECCO 2002: 113-120 - [c1]Kenneth O. Stanley, Risto Miikkulainen:
Efficient Reinforcement Learning Through Evolving Neural Network Topologies. GECCO 2002: 569-577 - 2000
- [j1]Adrian K. Agogino, Kenneth O. Stanley, Risto Miikkulainen:
Online Interactive Neuro-evolution. Neural Process. Lett. 11(1): 29-38 (2000)
Coauthor Index
Jeff Clune
aka: Jeffrey Clune
aka: Jeffrey Clune
[c118] [c117] [i33] [i32] [i31] [j40] [j39] [c114] [c112] [c111] [i28] [i26] [i24] [i23] [j35] [c109] [c108] [i22] [i21] [i19] [i17] [c105] [c104] [c100] [c99] [i16] [i11] [i10] [i8] [i7] [j29] [j28] [b1] [j26] [j22] [c77] [c74] [i3] [c67] [c65] [c64] [c59] [j17] [c57] [c56] [c50] [c49] [c45] [c43] [c42] [c29]
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