Stanley, Kenneth

8 publications

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

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 AI Feedback Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Gregory Schott, 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

ICML 2018 Differentiable Plasticity: Training Plastic Neural Networks with Backpropagation Thomas Miconi, Kenneth Stanley, Jeff Clune

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