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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 10:00 AM -- 10:20 AM (KST)
The Emergence of Individuality
In Reinforcement Learning 5
Jiechuan Jiang · Zongqing Lu
[ Paper ]
Spotlight
Wed Jul 21 10:20 AM -- 10:25 AM (KST)
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
Wed Jul 21 10:25 AM -- 10:30 AM (KST)
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
Wed Jul 21 10:30 AM -- 10:35 AM (KST)
Learning While Playing in Mean-Field Games: Convergence and Optimality
In Reinforcement Learning 5
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
[ Paper ]
Spotlight
Wed Jul 21 10:35 AM -- 10:40 AM (KST)
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
In Reinforcement Learning 5
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
[ Paper ]
Spotlight
Wed Jul 21 10:40 AM -- 10:45 AM (KST)
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
Wed Jul 21 10:45 AM -- 10:50 AM (KST)
Q&A
In Reinforcement Learning 5