Fujimoto, Scott

11 publications

ICLR 2025 Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel Jiang, Yonathan Efroni

ICLR 2025 Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat

NeurIPS 2023 For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto, Wei-Di Chang, Edward Smith, Shixiang Gu, Doina Precup, David Meger

ICML 2022 Why Should I Trust You, Bellman? the Bellman Error Is a Poor Replacement for Value Error Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu

ICML 2021 A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation Scott Fujimoto, David Meger, Doina Precup

NeurIPS 2021 A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto, Shixiang Gu

NeurIPS 2020 An Equivalence Between Loss Functions and Non-Uniform Sampling in Experience Replay Scott Fujimoto, David Meger, Doina Precup

ICML 2019 GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects Edward Smith, Scott Fujimoto, Adriana Romero, David Meger

ICML 2019 Off-Policy Deep Reinforcement Learning Without Exploration Scott Fujimoto, David Meger, Doina Precup

ICML 2018 Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto, Herke Hoof, David Meger

NeurIPS 2018 Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation Edward Smith, Scott Fujimoto, David Meger