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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
In Reinforcement Learning (Multi-agent)
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
In Reinforcement Learning (Multi-agent)
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
In Reinforcement Learning (Multi-agent)
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
In Reinforcement Learning (Multi-agent)
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
In Reinforcement Learning (Multi-agent)
Yuda Song · Wen Sun
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Imitation by Predicting Observations
In Reinforcement Learning (Multi-agent)
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
[ Paper ]
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Reinforcement Learning (Multi-agent)