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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 10:00 PM -- 10:20 PM (KST)
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
In Reinforcement Learning and Optimization
Shuang Qiu · Xiaohan Wei · Jieping Ye · Zhaoran Wang · Zhuoran Yang
[ Paper ]
Spotlight
Wed Jul 21 10:20 PM -- 10:25 PM (KST)
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
In Reinforcement Learning and Optimization
Aleksei Petrenko · Erik Wijmans · Brennan Shacklett · Vladlen Koltun
[ Paper ]
Spotlight
Wed Jul 21 10:25 PM -- 10:30 PM (KST)
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
In Reinforcement Learning and Optimization
Filippos Christianos · Georgios Papoudakis · Muhammad Arrasy Rahman · Stefano V. Albrecht
[ Paper ]
Spotlight
Wed Jul 21 10:30 PM -- 10:35 PM (KST)
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
In Reinforcement Learning and Optimization
Muhammad Arrasy Rahman · Niklas Hopner · Filippos Christianos · Stefano V. Albrecht
[ Paper ]
Spotlight
Wed Jul 21 10:35 PM -- 10:40 PM (KST)
Off-Belief Learning
In Reinforcement Learning and Optimization
Hengyuan Hu · Adam Lerer · Brandon Cui · Luis Pineda · Noam Brown · Jakob Foerster
[ Paper ]
Spotlight
Wed Jul 21 10:40 PM -- 10:45 PM (KST)
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
In Reinforcement Learning and Optimization
Tianhao Wu · Yunchang Yang · Simon Du · Liwei Wang
[ Paper ]
Spotlight
Wed Jul 21 10:45 PM -- 10:50 PM (KST)
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
In Reinforcement Learning and Optimization
Sebastian Curi · Ilija Bogunovic · Andreas Krause
[ Paper ]
Q&A
Wed Jul 21 10:50 PM -- 10:55 PM (KST)
Q&A
In Reinforcement Learning and Optimization