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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
The Emergence of Individuality
In Reinforcement Learning 5
Jiechuan Jiang · Zongqing Lu
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
In Reinforcement Learning 5
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
In Reinforcement Learning 5
Yiwei Liu · Jiamou Liu · Kaibin Wan · Zhan Qin · Zijian Zhang · Bakhadyr Khoussainov · Liehuang Zhu
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
In Reinforcement Learning 5
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
In Reinforcement Learning 5
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
In Reinforcement Learning 5
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
[ Paper ]
Q&A
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Q&A
In Reinforcement Learning 5