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Poster
Thu 15:00 Tell me why! Explanations support learning relational and causal structure
Andrew Lampinen · Nicholas Roy · Ishita Dasgupta · Stephanie Chan · Allison Tam · James McClelland · Chen Yan · Adam Santoro · Neil Rabinowitz · Jane Wang · Feilx Hill
Spotlight
Wed 10:30 Communicating via Markov Decision Processes
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster
Poster
Wed 15:30 A data-driven approach for learning to control computers
Peter Humphreys · David Raposo · Tobias Pohlen · Gregory Thornton · Rachita Chhaparia · Alistair Muldal · Josh Abramson · Petko Georgiev · Adam Santoro · Timothy Lillicrap
Spotlight
Wed 14:55 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Aivar Sootla · Alexander I Cowen-Rivers · Taher Jafferjee · Ziyan Wang · David Mguni · Jun Wang · Haitham Bou Ammar
Poster
Wed 15:30 Communicating via Markov Decision Processes
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster
Poster
Wed 15:30 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Aivar Sootla · Alexander I Cowen-Rivers · Taher Jafferjee · Ziyan Wang · David Mguni · Jun Wang · Haitham Bou Ammar
Spotlight
Thu 11:30 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch
Spotlight
Wed 14:25 Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
Pengjie Gu · Mengchen Zhao · Chen Chen · Dong Li · Jianye Hao · Bo An
Poster
Thu 15:00 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch
Poster
Wed 15:30 Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
Pengjie Gu · Mengchen Zhao · Chen Chen · Dong Li · Jianye Hao · Bo An