Kenneth O. Stanley

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 72

Top Venues

Publications

Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR (2024)
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)
Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR (2023)
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 (2023)
Joel Lehman, Jonathan Gordon, Shawn Jain, Kamal Ndousse, Cathy Yeh, Kenneth O. Stanley
Evolution through Large Models. CoRR (2022)
Navid Kardan, Ankit Sharma, Kenneth O. Stanley
Towards Consistent Predictive Confidence through Fitted Ensembles. IJCNN (2021)
Sebastian Risi, Kenneth O. Stanley
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures. AAAI (2021)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
First return, then explore. Nat. 590 (7847) (2021)
Navid Kardan, Ankit Sharma, Kenneth O. Stanley
Towards Consistent Predictive Confidence through Fitted Ensembles. CoRR (2021)
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 (2020)
Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR (2020)
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 (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. ECAI (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. CoRR (2020)
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)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
First return then explore. CoRR (2020)
Jonathan C. Brant, Kenneth O. Stanley
Diversity preservation in minimal criterion coevolution through resource limitation. GECCO (2020)
Sebastian Risi, Kenneth O. Stanley
Improving Deep Neuroevolution via Deep Innovation Protection. CoRR (2020)
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) (2020)
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. CoRR (2020)
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)
Sebastian Risi, Kenneth O. Stanley
Deep Neuroevolution of Recurrent and Discrete World Models. CoRR (2019)
Kenneth O. Stanley
Why Open-Endedness Matters. Artif. Life 25 (3) (2019)
Sebastian Risi, Kenneth O. Stanley
Deep neuroevolution of recurrent and discrete world models. GECCO (2019)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Go-Explore: a New Approach for Hard-Exploration Problems. CoRR (2019)
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) (2019)
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
Evolvability ES: scalable and direct optimization of evolvability. GECCO (2019)
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) (2019)
Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
POET: open-ended coevolution of environments and their optimized solutions. GECCO (2019)
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 (2019)
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 (2019)
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR (2019)
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. ICLR (Poster) (2019)
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 (2019)
Jonathan C. Brant, Kenneth O. Stanley
Benchmarking open-endedness in minimal criterion coevolution. GECCO (2019)
Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1 (1) (2019)
Thomas Miconi, Kenneth O. Stanley, Jeff Clune
Differentiable plasticity: training plastic neural networks with backpropagation. ICML (2018)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
Safe mutations for deep and recurrent neural networks through output gradients. GECCO (2018)
Rui Wang, Jeff Clune, Kenneth O. Stanley
VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution. CoRR (2018)
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 (2018)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
ES is more than just a traditional finite-difference approximator. GECCO (2018)
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
Differentiable plasticity: training plastic neural networks with backpropagation. CoRR (2018)
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)
Kenneth O. Stanley
Answering the Call of Open-Endedness. ALIFE (2018)
Rui Wang, Jeff Clune, Kenneth O. Stanley
VINE: an open source interactive data visualization tool for neuroevolution. GECCO (Companion) (2018)
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)
Joel Lehman, Kenneth O. Stanley
On the Potential Benefits of Knowing Everything. ALIFE (2018)
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks. Neural Networks 108 (2018)
Xingwen Zhang, Jeff Clune, Kenneth O. Stanley
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent. CoRR (2017)
Joost Huizinga, Kenneth O. Stanley, Jeff Clune
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. CoRR (2017)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR (2017)
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 (2017)
Navid Kardan, Kenneth O. Stanley
Mitigating fooling with competitive overcomplete output layer neural networks. IJCNN (2017)
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 (2017)
Justin K. Pugh, Lisa B. Soros, Rafaela Frota, Kevin Negy, Kenneth O. Stanley
Major evolutionary transitions in the Voxelbuild virtual sandbox game. ECAL (2017)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR (2017)
Lisa B. Soros, Justin K. Pugh, Kenneth O. Stanley
Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativity. GECCO (Companion) (2017)
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks. CoRR (2017)
Jonathan C. Brant, Kenneth O. Stanley
Minimal criterion coevolution: a new approach to open-ended search. GECCO (2017)
Kenneth O. Stanley
Generative and developmental systems tutorial. GECCO (Companion) (2017)
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) (2016)
Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley
Quality Diversity: A New Frontier for Evolutionary Computation. Frontiers Robotics AI 3 (2016)
Gregory Morse, Kenneth O. Stanley
Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks. GECCO (2016)
Kenneth O. Stanley, Nick Cheney, Lisa B. Soros
How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution. ALIFE (2016)
Joel Lehman, Bryan Wilder, Kenneth O. Stanley
On the Critical Role of Divergent Selection in Evolvability. Frontiers Robotics AI 3 (2016)
Navid Kardan, Kenneth O. Stanley
Fitted Learning: Models with Awareness of their Limits. CoRR (2016)
Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley
An Extended Study of Quality Diversity Algorithms. GECCO (Companion) (2016)
Kenneth O. Stanley, Justin K. Pugh, Joshua Bowren
Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences. ALIFE (2016)
Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley
Searching for Quality Diversity When Diversity is Unaligned with Quality. PPSN (2016)
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) (2016)
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 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) (2016)
Kenneth O. Stanley
Generative and Developmental Systems Tutorial. GECCO (Companion) (2016)
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) (2015)
Justin K. Pugh, Lisa B. Soros, Paul A. Szerlip, Kenneth O. Stanley
Confronting the Challenge of Quality Diversity. GECCO (2015)
Bryan Wilder, Kenneth O. Stanley
Reconciling explanations for the evolution of evolvability. Adapt. Behav. 23 (3) (2015)
Paul A. Szerlip, Kenneth O. Stanley
Indirectly Encoding Running and Jumping Sodarace Creatures for Artificial Life. Artif. Life 21 (4) (2015)
Kenneth O. Stanley
Generative and Developmental Systems Tutorial. GECCO (Companion) (2015)
Joel Lehman, Kenneth O. Stanley
Investigating Biological Assumptions through Radical Reimplementation. Artif. Life 21 (1) (2015)
Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Kenneth O. Stanley
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation. AAAI (2015)
Paul A. Szerlip, Kenneth O. Stanley
A Proposed Infrastructure for Adding Online Interaction to Any Evolutionary Domain. CoRR (2014)
Brian G. Woolley, Kenneth O. Stanley
A novel human-computer collaboration: combining novelty search with interactive evolution. GECCO (2014)
Sebastian Risi, Kenneth O. Stanley
Guided self-organization in indirectly encoded and evolving topographic maps. GECCO (2014)
Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley
Functional Scaffolding for Composing Additional Musical Voices. Comput. Music. J. 38 (4) (2014)
Justin K. Pugh, Andrea Soltoggio, Kenneth O. Stanley
Real-time Hebbian Learning from Autoencoder Features for Control Tasks. ALIFE (2014)
Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Kenneth O. Stanley
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation. CoRR (2014)
Lisa B. Soros, Kenneth O. Stanley
Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria. ALIFE (2014)
Paul A. Szerlip, Kenneth O. Stanley
Steps Toward a Modular Library for Turning Any Evolutionary Domain into an Online Interactive Platform. ALIFE (2014)
Kenneth O. Stanley
Generative and developmental systems tutorial. GECCO (Companion) (2014)
Justin K. Pugh, Skyler Goodell, Kenneth O. Stanley
Directional communication in evolved multiagent teams. GECCO (2014)
Joel Lehman, Kenneth O. Stanley
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation. AAAI Fall Symposia (2013)
Kenneth O. Stanley
Generative and developmental systems. GECCO (Companion) (2013)
Kenneth O. Stanley
The Case for Evolution in Engineering Brains. AAAI Fall Symposia (2013)
Justin K. Pugh, Kenneth O. Stanley
Evolving multimodal controllers with HyperNEAT. GECCO (2013)
Joel Lehman, Kenneth O. Stanley
Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt CoRR (2013)
Sebastian Risi, Kenneth O. Stanley
Confronting the challenge of learning a flexible neural controller for a diversity of morphologies. GECCO (2013)
David B. D'Ambrosio, Kenneth O. Stanley
Scalable multiagent learning through indirect encoding of policy geometry. Evol. Intell. 6 (1) (2013)
Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
Encouraging reactivity to create robust machines. Adapt. Behav. 21 (6) (2013)
Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen
Effective diversity maintenance in deceptive domains. GECCO (2013)
Andreas Lang, Kenneth O. Stanley
NeuroEvolutionary meta-optimization. IJCNN (2013)
Paul A. Szerlip, Kenneth O. Stanley
Indirectly Encoded Sodarace for Artificial Life. ECAL (2013)

Kenneth O. Stanley

Publication Activity (10 Years)

Top Topics

Top Venues