Michael Janner

25 papers A* 8B 1Misc 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	H-GAP: Humanoid Control with a Generalist Planner. ICLR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2024	A*	`conf`	Training Diffusion Models with Reinforcement Learning. ICLR Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
2023	J	`jnl`	Deep Generative Models for Decision-Making and Control. CoRR Michael Janner
2023	A*	`conf`	Efficient Planning in a Compact Latent Action Space. ICLR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2023	J	`jnl`	H-GAP: Humanoid Control with a Generalist Planner. CoRR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2023	J	`jnl`	IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies. CoRR Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, Sergey Levine
2023	J	`jnl`	Training Diffusion Models with Reinforcement Learning. CoRR Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
2022	J	`jnl`	Efficient Planning in a Compact Latent Action Space. CoRR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2022	A*	`conf`	Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control. ICML Katie Kang, Paula Gradu, Jason J. Choi, Michael Janner, Claire J. Tomlin, Sergey Levine
2022	J	`jnl`	Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control. CoRR Katie Kang, Paula Gradu, Jason J. Choi, Michael Janner, Claire J. Tomlin, Sergey Levine
2022	A*	`conf`	Planning with Diffusion for Flexible Behavior Synthesis. ICML Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine
2022	J	`jnl`	Planning with Diffusion for Flexible Behavior Synthesis. CoRR Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine
2021	A*	`conf`	Offline Reinforcement Learning as One Big Sequence Modeling Problem. NeurIPS Michael Janner, Qiyang Li, Sergey Levine
2021	J	`jnl`	Reinforcement Learning as One Big Sequence Modeling Problem. CoRR Michael Janner, Qiyang Li, Sergey Levine
2020	A*	`conf`	Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction. NeurIPS Michael Janner, Igor Mordatch, Sergey Levine
2020	J	`jnl`	γ-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction. CoRR Michael Janner, Igor Mordatch, Sergey Levine
2019	Misc	`conf`	Entity Abstraction in Visual Model-Based Reinforcement Learning. CoRL Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine
2019	J	`jnl`	Entity Abstraction in Visual Model-Based Reinforcement Learning. CoRR Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine
2019	—	`conf`	Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. ICLR (Poster) Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu
2019	A*	`conf`	When to Trust Your Model: Model-Based Policy Optimization. NeurIPS Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine
2019	J	`jnl`	When to Trust Your Model: Model-Based Policy Optimization. CoRR Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine
2018	J	`jnl`	Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. CoRR Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu
2017	B	`conf`	Causal and compositional generative models in online perception. CogSci Ilker Yildirim, Michael Janner, Mario Belledonne, Christian Wallraven, Winrich Freiwald, Josh Tenenbaum
2017	—	`conf`	Self-Supervised Intrinsic Image Decomposition. NIPS Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Josh Tenenbaum
2017	J	`jnl`	Self-Supervised Intrinsic Image Decomposition. CoRR Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Joshua B. Tenenbaum