Lehman, Joel

13 publications

ICLR 2024 OMNI: Open-Endedness via Models of Human Notions of Interestingness Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune

ICML 2024 Quality Diversity Through Human Feedback: Towards Open-Ended Diversity-Driven Optimization Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman

ICLR 2024 Quality-Diversity Through AI Feedback Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Gregory Schott, Joel Lehman

NeurIPSW 2023 OMNI: Open-Endedness via Models of Human Notions of Interestingness Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune

NeurIPSW 2023 Quality Diversity Through Human Feedback Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman

NeurIPSW 2023 Quality-Diversity Through AI Feedback Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Gregory Schott, Joel Lehman

ICML 2021 Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet, Joel Lehman

ICML 2020 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 Stanley

ICML 2020 Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth Stanley, Jeffrey Clune

IJCAI 2019 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

UAI 2019 Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng

NeurIPS 2018 An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski

NeurIPS 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth Stanley, Jeff Clune