ICML 2021 Schedule

Oral

Tue Jul 20 11:00 PM -- 11:20 PM (KST)

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition

In Reinforcement Learning 2

Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar

[ Paper ]

Spotlight

Tue Jul 20 11:20 PM -- 11:25 PM (KST)

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

In Reinforcement Learning 2

Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviychuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar

[ Paper ]

Spotlight

Tue Jul 20 11:25 PM -- 11:30 PM (KST)

A New Formalism, Method and Open Issues for Zero-Shot Coordination

In Reinforcement Learning 2

Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster

[ Paper ]

Spotlight

Tue Jul 20 11:30 PM -- 11:35 PM (KST)

Targeted Data Acquisition for Evolving Negotiation Agents

In Reinforcement Learning 2

Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh

[ Paper ]

Spotlight

Tue Jul 20 11:35 PM -- 11:40 PM (KST)

Inverse Constrained Reinforcement Learning

In Reinforcement Learning 2

Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed

[ Paper ]

Spotlight

Tue Jul 20 11:40 PM -- 11:45 PM (KST)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning

In Reinforcement Learning 2

Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos

[ Paper ]

Spotlight

Tue Jul 20 11:45 PM -- 11:50 PM (KST)

Interactive Learning from Activity Description

In Reinforcement Learning 2

Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto

[ Paper ]

Q&A

Tue Jul 20 11:50 PM -- 11:55 PM (KST)

Q&A

In Reinforcement Learning 2