Janner, Michael

17 publications

ICLR 2024 H-GAP: Humanoid Control with a Generalist Planner Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian

ICLR 2024 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

ICLR 2023 Efficient Planning in a Compact Latent Action Space Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian

NeurIPSW 2023 H-GAP: Humanoid Control with a Generalist Planner Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian

ICMLW 2023 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

ICMLW 2023 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

ICMLW 2023 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

NeurIPSW 2022 Efficient Planning in a Compact Latent Action Space Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian

ICML 2022 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control Katie Kang, Paula Gradu, Jason J Choi, Michael Janner, Claire Tomlin, Sergey Levine

ICML 2022 Planning with Diffusion for Flexible Behavior Synthesis Michael Janner, Yilun Du, Joshua Tenenbaum, Sergey Levine

NeurIPS 2021 Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner, Qiyang Li, Sergey Levine

ICMLW 2021 Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner, Qiyang Li, Sergey Levine

NeurIPS 2020 Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner, Igor Mordatch, Sergey Levine

ICLR 2019 Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu

CoRL 2019 Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua Tenenbaum, Sergey Levine

NeurIPS 2019 When to Trust Your Model: Model-Based Policy Optimization Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine

NeurIPS 2017 Self-Supervised Intrinsic Image Decomposition Michael Janner, Jiajun Wu, Tejas D Kulkarni, Ilker Yildirim, Josh Tenenbaum