2024
Language Model Crossover: Variation through Few-Shot Prompting.
ACM Trans. Evol. Learn. Optim., December, 2024
Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities.
CoRR, 2024
The Ethics of Advanced AI Assistants.
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CoRR, 2024
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
OMNI: Open-endedness via Models of human Notions of Interestingness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Quality-Diversity through AI Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Quality Diversity through Human Feedback.
CoRR, 2023
Language Model Crossover: Variation through Few-Shot Prompting.
CoRR, 2023
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms.
Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023
2022
Evolution through Large Models.
CoRR, 2022
2021
First return, then explore.
Nat., 2021
Reinforcement Learning Under Moral Uncertainty.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop.
CoRR, 2020
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search.
CoRR, 2020
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
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Artif. Life, 2020
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity.
Proceedings of the 2020 Conference on Artificial Life, 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.
Proceedings of the 37th International Conference on Machine Learning, 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.
Proceedings of the 37th International Conference on Machine Learning, 2020
Antimander: open source detection of gerrymandering though multi-objective evolutionary algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Learning to Continually Learn.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework.
ACM Trans. Cyber Phys. Syst., 2019
Designing neural networks through neuroevolution.
Nat. Mach. Intell., 2019
Go-Explore: a New Approach for Hard-Exploration Problems.
CoRR, 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.
CoRR, 2019
Learning Belief Representations for Imitation Learning in POMDPs.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Towards Empathic Deep Q-Learning.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
Evolutionary Computation and AI Safety - Research Problems Impeding Routine and Safe Real-World Application of Evolution.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019
POET: open-ended coevolution of environments and their optimized solutions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Evolvability ES: scalable and direct optimization of evolvability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
CoRR, 2018
An intriguing failing of convolutional neural networks and the CoordConv solution.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
On the Potential Benefits of Knowing Everything.
Proceedings of the 2018 Conference on Artificial Life, 2018
The Surprising Creativity of Digital Evolution.
Proceedings of the 2018 Conference on Artificial Life, 2018
ES is more than just a traditional finite-difference approximator.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Safe mutations for deep and recurrent neural networks through output gradients.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.
CoRR, 2017
Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Precomputation for rapid hypothesis generation in evolutionary robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Petalz: Search-Based Procedural Content Generation for the Casual Gamer.
IEEE Trans. Comput. Intell. AI Games, 2016
On the Critical Role of Divergent Selection in Evolvability.
Frontiers Robotics AI, 2016
Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior.
CoRR, 2016
Creative Generation of 3D Objects with Deep Learning and Innovation Engines.
Proceedings of the Seventh International Conference on Computational Creativity, 2016
Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Learning Behavior Characterizations for Novelty Search.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
2015
Patricia Vargas, Ezequiel Di Paolo, Inman Harvey, and Phil Husbands (eds), The Horizons of Evolutionary Robotics, The MIT Press, 2014, ISBN: 978-0-262-02676-5, Hardcover book, 302 pages.
Genet. Program. Evolvable Mach., 2015
Investigating Biological Assumptions through Radical Reimplementation.
Artif. Life, 2015
Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015
Enhancing Divergent Search through Extinction Events.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Novelty-Driven Particle Swarm Optimization.
Proceedings of the Artificial Evolution, 2015
Why Greatness Cannot Be Planned - The Myth of the Objective
Springer, ISBN: 978-3-319-15524-1, 2015
2014
A Neuroevolution Approach to General Atari Game Playing.
IEEE Trans. Comput. Intell. AI Games, 2014
An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI.
IEEE Intell. Syst., 2014
Reports on the 2013 AAAI Fall Symposium Series.
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AI Mag., 2014
Overcoming deception in evolution of cognitive behaviors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Grasping novel objects with a dexterous robotic hand through neuroevolution.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014
2013
Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt
CoRR, 2013
Encouraging reactivity to create robust machines.
Adapt. Behav., 2013
Boosting Interactive Evolution Using Human Computation Markets.
Proceedings of the Theory and Practice of Natural Computing, 2013
Effective diversity maintenance in deceptive domains.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
2012
Multirobot Behavior Synchronization through Direct Neural Network Communication.
Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012
Beyond Open-endedness: Quantifying Impressiveness.
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012
Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise.
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012
Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game.
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012
2011
Abandoning Objectives: Evolution Through the Search for Novelty Alone.
Evol. Comput., 2011
Task switching in multirobot learning through indirect encoding.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Evolving a diversity of virtual creatures through novelty search and local competition.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Improving evolvability through novelty search and self-adaptation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Evolving the placement and density of neurons in the hyperneat substrate.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Efficiently evolving programs through the search for novelty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Revising the evolutionary computation abstraction: minimal criteria novelty search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Evolving policy geometry for scalable multiagent learning.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
2008
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008