| 2024 | ICLR | Quality-Diversity through AI Feedback. | Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grgory Schott, Joel Lehman |
| 2024 | ICLR | OMNI: Open-endedness via Models of human Notions of Interestingness. | Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune |
| 2024 | ICML | Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization. | Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman |
| 2021 | ICML | Reinforcement Learning Under Moral Uncertainty. | Adrien Ecoffet, Joel Lehman |
| 2020 | ECAI | Learning to Continually Learn. | Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney |
| 2020 | GECCO | Antimander: open source detection of gerrymandering though multi-objective evolutionary algorithms. | Joel Simon, Joel Lehman |
| 2020 | ICML | Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. | Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley |
| 2020 | ICML | Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. | Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune |
| 2019 | GECCO | Evolvability ES: scalable and direct optimization of evolvability. | Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman |
| 2019 | GECCO | POET: open-ended coevolution of environments and their optimized solutions. | Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley |
| 2019 | IJCAI | Towards Empathic Deep Q-Learning. | Bart Bussmann, Jacqueline Heinerman, Joel Lehman |
| 2019 | IJCAI | An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. | Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman |
| 2019 | UAI | Learning Belief Representations for Imitation Learning in POMDPs. | Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng |
| 2018 | GECCO | Safe mutations for deep and recurrent neural networks through output gradients. | Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley |
| 2018 | GECCO | ES is more than just a traditional finite-difference approximator. | Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley |
| 2017 | GECCO | Precomputation for rapid hypothesis generation in evolutionary robotics. | Joel Lehman |
| 2017 | GECCO | Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics. | Joel Lehman |
| 2016 | GECCO | Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. | Henok Mengistu, Joel Lehman, Jeff Clune |
| 2016 | GECCO | Learning Behavior Characterizations for Novelty Search. | Elliot Meyerson, Joel Lehman, Risto Miikkulainen |
| 2016 | GECCO | Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. | Jacob Schrum, Joel Lehman, Sebastian Risi |
| 2015 | GECCO | Enhancing Divergent Search through Extinction Events. | Joel Lehman, Risto Miikkulainen |
| 2015 | RTSS | Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation. | Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen |
| 2014 | GECCO | Overcoming deception in evolution of cognitive behaviors. | Joel Lehman, Risto Miikkulainen |
| 2013 | GECCO | Effective diversity maintenance in deceptive domains. | Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen |
| 2012 | ALIFE | Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. | Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley |
| 2012 | ALIFE | Beyond Open-endedness: Quantifying Impressiveness. | Joel Lehman, Kenneth O. Stanley |
| 2011 | CEC | Improving evolvability through novelty search and self-adaptation. | Joel Lehman, Kenneth O. Stanley |
| 2011 | GECCO | Evolving a diversity of virtual creatures through novelty search and local competition. | Joel Lehman, Kenneth O. Stanley |
| 2011 | IROS | Task switching in multirobot learning through indirect encoding. | David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley |
| 2010 | GECCO | Revising the evolutionary computation abstraction: minimal criteria novelty search. | Joel Lehman, Kenneth O. Stanley |
| 2010 | GECCO | Efficiently evolving programs through the search for novelty. | Joel Lehman, Kenneth O. Stanley |
| 2010 | GECCO | Evolving the placement and density of neurons in the hyperneat substrate. | Sebastian Risi, Joel Lehman, Kenneth O. Stanley |
| 2008 | ALIFE | Exploiting Open-Endedness to Solve Problems Through the Search for Novelty. | Joel Lehman, Kenneth O. Stanley |