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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 11:00 PM -- 11:20 PM (KST)
World Model as a Graph: Learning Latent Landmarks for Planning
In Reinforcement Learning and Planning 1
Lunjun Zhang · Ge Yang · Bradly Stadie
[ Paper ]
Spotlight
Tue Jul 20 11:20 PM -- 11:25 PM (KST)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
In Reinforcement Learning and Planning 1
Johan Obando Ceron · Pablo Samuel Castro
[ Paper ]
Spotlight
Tue Jul 20 11:25 PM -- 11:30 PM (KST)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
In Reinforcement Learning and Planning 1
Annie Xie · James Harrison · Chelsea Finn
[ Paper ]
Spotlight
Tue Jul 20 11:30 PM -- 11:35 PM (KST)
Offline Reinforcement Learning with Pseudometric Learning
In Reinforcement Learning and Planning 1
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
[ Paper ]
Spotlight
Tue Jul 20 11:35 PM -- 11:40 PM (KST)
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
In Reinforcement Learning and Planning 1
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
[ Paper ]
Spotlight
Tue Jul 20 11:40 PM -- 11:45 PM (KST)
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
In Reinforcement Learning and Planning 1
Dennis Wei
[ Paper ]
Q&A
Tue Jul 20 11:45 PM -- 11:50 PM (KST)
Q&A
In Reinforcement Learning and Planning 1