Kenneth O. Stanley

197 papers A* 11A 42B 7C 12Journal 76Unranked 46
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evolution and The Knightian Blindspot of Machine Learning.
CoRR
Joel Lehman, Elliot Meyerson, Tarek El-Gaaly, Kenneth O. Stanley, Tarin Ziyaee
2025 J jnl
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis.
CoRR
Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley
2024 J jnl
Automating the Search for Artificial Life with Foundation Models.
CoRR
Akarsh Kumar, Chris Lu, Louis Kirsch, Yujin Tang, Kenneth O. Stanley, Phillip Isola, David Ha
2024 A* conf
OMNI: Open-endedness via Models of human Notions of Interestingness.
ICLR
Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2024 A* conf
Quality-Diversity through AI Feedback.
ICLR
Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2023 J jnl
OMNI: Open-endedness via Models of human Notions of Interestingness.
CoRR
Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2023 J jnl
Quality-Diversity through AI Feedback.
CoRR
Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2022 J jnl
Evolution through Large Models.
CoRR
Joel Lehman, Jonathan Gordon, Shawn Jain, Kamal Ndousse, Cathy Yeh, Kenneth O. Stanley
2021 A* conf
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures.
AAAI
Sebastian Risi, Kenneth O. Stanley
2021 J jnl
First return, then explore.
Nat.
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2021 B conf
Towards Consistent Predictive Confidence through Fitted Ensembles.
IJCNN
Navid Kardan, Ankit Sharma, Kenneth O. Stanley
2021 J jnl
Towards Consistent Predictive Confidence through Fitted Ensembles.
CoRR
Navid Kardan, Ankit Sharma, Kenneth O. Stanley
2020 J jnl
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity.
CoRR
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
2020 A conf
Diversity preservation in minimal criterion coevolution through resource limitation.
GECCO
Jonathan C. Brant, Kenneth O. Stanley
2020 J jnl
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.
CoRR
Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley
2020 A* conf
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.
ICML
Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley
2020 J jnl
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods.
CoRR
Jiale Zhi, Rui Wang, Jeff Clune, Kenneth O. Stanley
2020 J jnl
First return then explore.
CoRR
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2020 A* conf
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.
ICML
Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune
2020 J jnl
Improving Deep Neuroevolution via Deep Innovation Protection.
CoRR
Sebastian Risi, Kenneth O. Stanley
2020 A conf
Learning to Continually Learn.
ECAI
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020 J jnl
Learning to Continually Learn.
CoRR
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020 J jnl
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search.
CoRR
Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
2020 J jnl
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life
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
2019 J jnl
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue.
Artif. Life
Norman H. Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor
2019 J jnl
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue.
CoRR
Norman H. Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor
2019 — conf
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity.
ICLR (Poster)
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
2019 A conf
Benchmarking open-endedness in minimal criterion coevolution.
GECCO
Jonathan C. Brant, Kenneth O. Stanley
2019 J jnl
Deep Neuroevolution of Recurrent and Discrete World Models.
CoRR
Sebastian Risi, Kenneth O. Stanley
2019 A conf
Deep neuroevolution of recurrent and discrete world models.
GECCO
Sebastian Risi, Kenneth O. Stanley
2019 J jnl
Designing neural networks through neuroevolution.
Nat. Mach. Intell.
Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen
2019 J jnl
Evolvability ES: Scalable and Direct Optimization of Evolvability.
CoRR
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
2019 A conf
Evolvability ES: scalable and direct optimization of evolvability.
GECCO
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
2019 J jnl
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.
CoRR
Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2019 J jnl
Go-Explore: a New Approach for Hard-Exploration Problems.
CoRR
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2019 J jnl
Open-Ended Evolution and Open-Endedness: Editorial Introduction to the Open-Ended Evolution I Special Issue.
Artif. Life
Norman H. Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor
2019 A conf
POET: open-ended coevolution of environments and their optimized solutions.
GECCO
Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
2019 J jnl
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.
CoRR
Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
2019 J jnl
Why Open-Endedness Matters.
Artif. Life
Kenneth O. Stanley
2018 C conf
Answering the Call of Open-Endedness.
ALIFE
Kenneth O. Stanley
2018 J jnl
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks.
Neural Networks
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
2018 A* conf
Differentiable plasticity: training plastic neural networks with backpropagation.
ICML
Thomas Miconi, Kenneth O. Stanley, Jeff Clune
2018 J jnl
Differentiable plasticity: training plastic neural networks with backpropagation.
CoRR
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
2018 A conf
ES is more than just a traditional finite-difference approximator.
GECCO
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2018 A* conf
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents.
NeurIPS
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2018 C conf
On the Potential Benefits of Knowing Everything.
ALIFE
Joel Lehman, Kenneth O. Stanley
2018 A conf
Safe mutations for deep and recurrent neural networks through output gradients.
GECCO
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2018 J jnl
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System.
Artif. Life
Joost Huizinga, Kenneth O. Stanley, Jeff Clune
2018 J jnl
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
CoRR
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
2018 J jnl
VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution.
CoRR
Rui Wang, Jeff Clune, Kenneth O. Stanley
2018 — conf
VINE: an open source interactive data visualization tool for neuroevolution.
GECCO (Companion)
Rui Wang, Jeff Clune, Kenneth O. Stanley
2017 J jnl
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks.
CoRR
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
2017 J jnl
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.
CoRR
Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017 J jnl
ES Is More Than Just a Traditional Finite-Difference Approximator.
CoRR
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2017 — conf
Generative and developmental systems tutorial.
GECCO (Companion)
Kenneth O. Stanley
2017 J jnl
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents.
CoRR
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017 — conf
Major evolutionary transitions in the Voxelbuild virtual sandbox game.
ECAL
Justin K. Pugh, Lisa B. Soros, Rafaela Frota, Kevin Negy, Kenneth O. Stanley
2017 A conf
Minimal criterion coevolution: a new approach to open-ended search.
GECCO
Jonathan C. Brant, Kenneth O. Stanley
2017 B conf
Mitigating fooling with competitive overcomplete output layer neural networks.
IJCNN
Navid Kardan, Kenneth O. Stanley
2017 J jnl
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent.
CoRR
Xingwen Zhang, Jeff Clune, Kenneth O. Stanley
2017 J jnl
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients.
CoRR
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2017 J jnl
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System.
CoRR
Joost Huizinga, Kenneth O. Stanley, Jeff Clune
2017 — conf
Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativity.
GECCO (Companion)
Lisa B. Soros, Justin K. Pugh, Kenneth O. Stanley
2016 — conf
An Extended Study of Quality Diversity Algorithms.
GECCO (Companion)
Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley
2016 J jnl
Fitted Learning: Models with Awareness of their Limits.
CoRR
Navid Kardan, Kenneth O. Stanley
2016 C conf
Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences.
ALIFE
Kenneth O. Stanley, Justin K. Pugh, Joshua Bowren
2016 — conf
Generative and Developmental Systems Tutorial.
GECCO (Companion)
Kenneth O. Stanley
2016 C conf
How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution.
ALIFE
Kenneth O. Stanley, Nick Cheney, Lisa B. Soros
2016 J jnl
On the Critical Role of Divergent Selection in Evolvability.
Frontiers Robotics AI
Joel Lehman, Bryan Wilder, Kenneth O. Stanley
2016 J jnl
Open-Ended Evolution: Perspectives from the OEE Workshop in York.
Artif. Life
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
2016 J jnl
Petalz: Search-Based Procedural Content Generation for the Casual Gamer.
IEEE Trans. Comput. Intell. AI Games
Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
2016 J jnl
Quality Diversity: A New Frontier for Evolutionary Computation.
Frontiers Robotics AI
Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley
2016 A conf
Searching for Quality Diversity When Diversity is Unaligned with Quality.
PPSN
Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley
2016 A conf
Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks.
GECCO
Gregory Morse, Kenneth O. Stanley
2016 J jnl
WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web.
Artif. Life
Tim Taylor, Joshua Evan Auerbach, Josh C. Bongard, Jeff Clune, Simon J. Hickinbotham, Charles Ofria, Mizuki Oka, Sebastian Risi, Kenneth O. Stanley, Jason Yosinski
2015 A conf
Confronting the Challenge of Quality Diversity.
GECCO
Justin K. Pugh, Lisa B. Soros, Paul A. Szerlip, Kenneth O. Stanley
2015 — conf
Generative and Developmental Systems Tutorial.
GECCO (Companion)
Kenneth O. Stanley
2015 J jnl
Indirectly Encoding Running and Jumping Sodarace Creatures for Artificial Life.
Artif. Life
Paul A. Szerlip, Kenneth O. Stanley
2015 J jnl
Integrated Approach to Personalized Procedural Map Generation Using Evolutionary Algorithms.
IEEE Trans. Comput. Intell. AI Games
William L. Raffe, Fabio Zambetta, Xiaodong Li, Kenneth O. Stanley
2015 J jnl
Investigating Biological Assumptions through Radical Reimplementation.
Artif. Life
Joel Lehman, Kenneth O. Stanley
2015 J jnl
Reconciling explanations for the evolution of evolvability.
Adapt. Behav.
Bryan Wilder, Kenneth O. Stanley
2015 A* conf
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation.
AAAI
Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Kenneth O. Stanley
2015 — book
Why Greatness Cannot Be Planned - The Myth of the Objective
Kenneth O. Stanley, Joel Lehman
2014 J jnl
A Proposed Infrastructure for Adding Online Interaction to Any Evolutionary Domain.
CoRR
Paul A. Szerlip, Kenneth O. Stanley
2014 A conf
A novel human-computer collaboration: combining novelty search with interactive evolution.
GECCO
Brian G. Woolley, Kenneth O. Stanley
2014 A conf
Directional communication in evolved multiagent teams.
GECCO
Justin K. Pugh, Skyler Goodell, Kenneth O. Stanley
2014 J jnl
Functional Scaffolding for Composing Additional Musical Voices.
Comput. Music. J.
Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley
2014 — conf
Generative and developmental systems tutorial.
GECCO (Companion)
Kenneth O. Stanley
2014 A conf
Guided self-organization in indirectly encoded and evolving topographic maps.
GECCO
Sebastian Risi, Kenneth O. Stanley
2014 — ch.
HyperNEAT: The First Five Years.
Growing Adaptive Machines
David B. D'Ambrosio, Jason Gauci, Kenneth O. Stanley
2014 C conf
Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria.
ALIFE
Lisa B. Soros, Kenneth O. Stanley
2014 C conf
Real-time Hebbian Learning from Autoencoder Features for Control Tasks.
ALIFE
Justin K. Pugh, Andrea Soltoggio, Kenneth O. Stanley
2014 C conf
Steps Toward a Modular Library for Turning Any Evolutionary Domain into an Online Interactive Platform.
ALIFE
Paul A. Szerlip, Kenneth O. Stanley
2014 J jnl
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation.
CoRR
Paul A. Szerlip, Gregory Morse, Justin K. Pugh, Kenneth O. Stanley
2013 A conf
Confronting the challenge of learning a flexible neural controller for a diversity of morphologies.
GECCO
Sebastian Risi, Kenneth O. Stanley
2013 A conf
Effective diversity maintenance in deceptive domains.
GECCO
Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen
2013 J jnl
Encouraging reactivity to create robust machines.
Adapt. Behav.
Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
2013 J jnl
Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt
CoRR
Joel Lehman, Kenneth O. Stanley
2013 A conf
Evolving multimodal controllers with HyperNEAT.
GECCO
Justin K. Pugh, Kenneth O. Stanley
2013 — conf
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation.
AAAI Fall Symposia
Joel Lehman, Kenneth O. Stanley
2013 — conf
Generative and developmental systems.
GECCO (Companion)
Kenneth O. Stanley
2013 C conf
Implications from Music Generation for Music Appreciation.
ICCC
Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley
2013 — conf
Indirectly Encoded Sodarace for Artificial Life.
ECAL
Paul A. Szerlip, Kenneth O. Stanley
2013 B conf
NeuroEvolutionary meta-optimization.
IJCNN
Andreas Lang, Kenneth O. Stanley
2013 — ch.
Procedural Content Generation: Goals, Challenges and Actionable Steps.
Artificial and Computational Intelligence in Games
Julian Togelius, Alex J. Champandard, Pier Luca Lanzi, Michael Mateas, Ana Paiva, Mike Preuss, Kenneth O. Stanley
2013 J jnl
Scalable multiagent learning through indirect encoding of policy geometry.
Evol. Intell.
David B. D'Ambrosio, Kenneth O. Stanley
2013 A conf
Single-unit pattern generators for quadruped locomotion.
GECCO
Gregory Morse, Sebastian Risi, Charles R. Snyder, Kenneth O. Stanley
2013 — conf
The Case for Evolution in Engineering Brains.
AAAI Fall Symposia
Kenneth O. Stanley
2012 B conf
A unified approach to evolving plasticity and neural geometry.
IJCNN
Sebastian Risi, Kenneth O. Stanley
2012 J jnl
An Enhanced Hypercube-Based Encoding for Evolving the Placement, Density, and Connectivity of Neurons.
Artif. Life
Sebastian Risi, Kenneth O. Stanley
2012 C conf
Beyond Open-endedness: Quantifying Impressiveness.
ALIFE
Joel Lehman, Kenneth O. Stanley
2012 — conf
Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game.
AIIDE
Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
2012 — conf
Demo: A Computer-Assisted Approach to Composing with MaestroGenesis.
MUME@AIIDE
Paul A. Szerlip, Amy K. Hoover, Kenneth O. Stanley
2012 — conf
Evolving neural networks.
GECCO (Companion)
Kenneth O. Stanley
2012 J jnl
Exploring Promising Stepping Stones by Combining Novelty Search with Interactive Evolution
CoRR
Brian G. Woolley, Kenneth O. Stanley
2012 J jnl
From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation.
Neural Networks
Andrea Soltoggio, Kenneth O. Stanley
2012 C conf
Generating a Complete Multipart Musical Composition from a Single Monophonic Melody with Functional Scaffolding.
ICCC
Amy K. Hoover, Paul A. Szerlip, Marie E. Norton, Trevor A. Brindle, Zachary Merritt, Kenneth O. Stanley
2012 — conf
Generative and developmental systems.
GECCO (Companion)
Kenneth O. Stanley
2012 — conf
How AI can change the way we play games.
Conf. Computing Frontiers
Kenneth O. Stanley
2012 — conf
Multirobot Behavior Synchronization through Direct Neural Network Communication.
ICIRA (2)
David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2012 C conf
Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise.
ALIFE
Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
2011 J jnl
Abandoning Objectives: Evolution Through the Search for Novelty Alone.
Evol. Comput.
Joel Lehman, Kenneth O. Stanley
2011 J jnl
Competitive Coevolution through Evolutionary Complexification
CoRR
Risto Miikkulainen, Kenneth O. Stanley
2011 A conf
Constraining connectivity to encourage modularity in HyperNEAT.
GECCO
Phillip Verbancsics, Kenneth O. Stanley
2011 A conf
Enhancing es-hyperneat to evolve more complex regular neural networks.
GECCO
Sebastian Risi, Kenneth O. Stanley
2011 A conf
Evolving a diversity of virtual creatures through novelty search and local competition.
GECCO
Joel Lehman, Kenneth O. Stanley
2011 A conf
Evolving neural networks for geometric game-tree pruning.
GECCO
Jason Gauci, Kenneth O. Stanley
2011 B conf
Improving evolvability through novelty search and self-adaptation.
IEEE Congress on Evolutionary Computation
Joel Lehman, Kenneth O. Stanley
2011 A conf
Interactively evolving harmonies through functional scaffolding.
GECCO
Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley
2011 J jnl
On the Performance of Indirect Encoding Across the Continuum of Regularity.
IEEE Trans. Evol. Comput.
Jeff Clune, Kenneth O. Stanley, Robert T. Pennock, Charles Ofria
2011 A conf
On the deleterious effects of a priori objectives on evolution and representation.
GECCO
Brian G. Woolley, Kenneth O. Stanley
2011 J jnl
Pareto-based evolutionary computational approach for wireless sensor placement.
Eng. Appl. Artif. Intell.
Shafaq Chaudhry, Victor C. Hung, Ratan K. Guha, Kenneth O. Stanley
2011 J jnl
Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space.
Evol. Comput.
Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, Kenneth O. Stanley
2011 J jnl
Search-Based Procedural Content Generation: A Taxonomy and Survey.
IEEE Trans. Comput. Intell. AI Games
Julian Togelius, Georgios N. Yannakakis, Kenneth O. Stanley, Cameron Browne
2011 A conf
Task switching in multirobot learning through indirect encoding.
IROS
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2010 J jnl
Autonomous Evolution of Topographic Regularities in Artificial Neural Networks.
Neural Comput.
Jason Gauci, Kenneth O. Stanley
2010 A conf
Efficiently evolving programs through the search for novelty.
GECCO
Joel Lehman, Kenneth O. Stanley
2010 J jnl
Evolving Static Representations for Task Transfer.
J. Mach. Learn. Res.
Phillip Verbancsics, Kenneth O. Stanley
2010 — conf
Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments.
PPSN (2)
Brian G. Woolley, Kenneth O. Stanley
2010 J jnl
Evolving plastic neural networks with novelty search.
Adapt. Behav.
Sebastian Risi, Charles E. Hughes, Kenneth O. Stanley
2010 A conf
Evolving policy geometry for scalable multiagent learning.
AAMAS
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2010 A conf
Evolving the placement and density of neurons in the hyperneat substrate.
GECCO
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
2010 — conf
Generative and developmental systems.
GECCO (Companion)
Kenneth O. Stanley
2010 — conf
Indirect Encoding of Neural Networks for Scalable Go.
PPSN (1)
Jason Gauci, Kenneth O. Stanley
2010 — conf
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules.
SAB
Sebastian Risi, Kenneth O. Stanley
2010 — conf
Interactive genetic engineering of evolved video game content.
PCGames@FDG
Erin J. Hastings, Kenneth O. Stanley
2010 — conf
Learning to Dance through Interactive Evolution.
EvoApplications (2)
Greg A. Dubbin, Kenneth O. Stanley
2010 A conf
Revising the evolutionary computation abstraction: minimal criteria novelty search.
GECCO
Joel Lehman, Kenneth O. Stanley
2010 — conf
Search-Based Procedural Content Generation.
EvoApplications (1)
Julian Togelius, Georgios N. Yannakakis, Kenneth O. Stanley, Cameron Browne
2010 A conf
To achieve our highest goals, we must be willing to abandon them.
OOPSLA
Kenneth O. Stanley
2010 A conf
Transfer learning through indirect encoding.
GECCO
Phillip Verbancsics, Kenneth O. Stanley
2009 J jnl
A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks.
Artif. Life
Kenneth O. Stanley, David B. D'Ambrosio, Jason Gauci
2009 J jnl
Automatic Content Generation in the Galactic Arms Race Video Game.
IEEE Trans. Comput. Intell. AI Games
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley
2009 — conf
Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game.
AIIDE
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley
2009 — conf
Evolving content in the Galactic Arms Race video game.
CIG
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley
2009 — conf
Evolving neural networks.
GECCO (Companion)
Risto Miikkulainen, Kenneth O. Stanley
2009 J jnl
Exploiting functional relationships in musical composition.
Connect. Sci.
Amy K. Hoover, Kenneth O. Stanley
2009 — conf
Generative and developmental systems.
GECCO (Companion)
Kenneth O. Stanley
2009 A conf
How novelty search escapes the deceptive trap of learning to learn.
GECCO
Sebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes, Kenneth O. Stanley
2009 J jnl
Interactive Evolution of Particle Systems for Computer Graphics and Animation.
IEEE Trans. Evol. Comput.
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley
2009 — conf
Practical issues in evolving neural network controllers for video game agents.
CIG
Kenneth O. Stanley
2008 A* conf
A Case Study on the Critical Role of Geometric Regularity in Machine Learning.
AAAI
Jason Gauci, Kenneth O. Stanley
2008 — conf
Evolving neural networks.
GECCO (Companion)
Risto Miikkulainen, Kenneth O. Stanley
2008 C conf
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty.
ALIFE
Joel Lehman, Kenneth O. Stanley
2008 — conf
Generative and developmental systems.
GECCO (Companion)
Kenneth O. Stanley
2008 A conf
Generative encoding for multiagent learning.
GECCO
David B. D'Ambrosio, Kenneth O. Stanley
2008 — conf
Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs.
EvoWorkshops
Amy K. Hoover, Michael P. Rosario, Kenneth O. Stanley
2007 A conf
A novel generative encoding for exploiting neural network sensor and output geometry.
GECCO
David B. D'Ambrosio, Kenneth O. Stanley
2007 J jnl
Compositional pattern producing networks: A novel abstraction of development.
Genet. Program. Evolvable Mach.
Kenneth O. Stanley
2007 A conf
Generating large-scale neural networks through discovering geometric regularities.
GECCO
Jason Gauci, Kenneth O. Stanley
2007 — conf
Introductory tutorial on coevolution.
GECCO (Companion)
Edwin D. de Jong, Kenneth O. Stanley, R. Paul Wiegand
2007 — conf
NEAT Particles: Design, Representation, and Animation of Particle System Effects.
CIG
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley
2006 A conf
Coevolution of neural networks using a layered pareto archive.
GECCO
German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen
2006 A conf
Evolving a real-world vehicle warning system.
GECCO
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Michael E. Samples, Rini Sherony
2006 — conf
Exploiting Regularity Without Development.
AAAI Fall Symposium: Developmental Systems
Kenneth O. Stanley
2006 — conf
Incorporating Advice into Neuroevolution of Adaptive Agents.
AIIDE
Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, Igor Karpov
2006 — conf
Integration and Evaluation of Exploration-Based Learning in Games.
CIG
Igor Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen
2006 A* conf
Real-Time Evolution of Neural Networks in the NERO Video Game.
AAAI
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen
2006 A* conf
Real-Time Interactive Learning in the NERO Video Game.
AAAI
Kenneth O. Stanley, Igor Karpov, Risto Miikkulainen, Aliza Gold
2006 — conf
The NERO Video Game.
AIIDE
Kenneth O. Stanley, Igor Karpov, Risto Miikkulainen, Aliza Gold
2005 A conf
Automatic feature selection in neuroevolution.
GECCO
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl
2005 A conf
Neuroevolution of an automobile crash warning system.
GECCO
Kenneth O. Stanley, Nate Kohl, Rini Sherony, Risto Miikkulainen
2005 — conf
Real-Time Evolution in the NERO Video Game (Winner of CIG 2005 Best Paper Award).
CIG
Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen
2005 — conf
Real-time Learning in the NERO Video Game.
AIIDE
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen
2005 J jnl
Real-time neuroevolution in the NERO video game.
IEEE Trans. Evol. Comput.
Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen
2005 — conf
Retaining Learned Behavior During Real-Time Neuroevolution.
AIIDE
Thomas D'Silva, Roy Janik, Micahel Chrien, Kenneth O. Stanley, Risto Miikkulainen
2005 — conf
Towards an empirical measure of evolvability.
GECCO Workshops
Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen
2004 J jnl
Competitive Coevolution through Evolutionary Complexification.
J. Artif. Intell. Res.
Kenneth O. Stanley, Risto Miikkulainen
2004 — conf
Evolving Reusable Neural Modules.
GECCO (2)
Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen
2004 — conf
Evolving a Roving Eye for Go.
GECCO (2)
Kenneth O. Stanley, Risto Miikkulainen
2003 J jnl
A Taxonomy for Artificial Embryogeny.
Artif. Life
Kenneth O. Stanley, Risto Miikkulainen
2003 B conf
Evolving adaptive neural networks with and without adaptive synapses.
IEEE Congress on Evolutionary Computation
Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen
2002 A conf
Continual Coevolution Through Complexification.
GECCO
Kenneth O. Stanley, Risto Miikkulainen
2002 A conf
Efficient Reinforcement Learning Through Evolving Neural Network Topologies.
GECCO
Kenneth O. Stanley, Risto Miikkulainen
2002 B conf
Efficient evolution of neural network topologies.
IEEE Congress on Evolutionary Computation
Kenneth O. Stanley, Risto Miikkulainen
2002 J jnl
Evolving Neural Network through Augmenting Topologies.
Evol. Comput.
Kenneth O. Stanley, Risto Miikkulainen
2000 J jnl
Online Interactive Neuro-evolution.
Neural Process. Lett.
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikkulainen