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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 09:00 PM -- 09:20 PM (KST)
APS: Active Pretraining with Successor Features
In Reinforcement Learning 11
Hao Liu · Pieter Abbeel
[ Paper ]
Spotlight
Wed Jul 21 09:20 PM -- 09:25 PM (KST)
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
In Reinforcement Learning 11
Gabriele Libardi · Gianni De Fabritiis · Sebastian Dittert
[ Paper ]
Spotlight
Wed Jul 21 09:25 PM -- 09:30 PM (KST)
Self-Paced Context Evaluation for Contextual Reinforcement Learning
In Reinforcement Learning 11
Theresa Eimer · André Biedenkapp · Frank Hutter · Marius Lindauer
[ Paper ]
Spotlight
Wed Jul 21 09:30 PM -- 09:35 PM (KST)
Unsupervised Skill Discovery with Bottleneck Option Learning
In Reinforcement Learning 11
Jaekyeom Kim · Seohong Park · Gunhee Kim
[ Paper ]
Spotlight
Wed Jul 21 09:35 PM -- 09:40 PM (KST)
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
In Reinforcement Learning 11
Clément Romac · Rémy Portelas · Katja Hofmann · Pierre-Yves Oudeyer
[ Paper ]
Spotlight
Wed Jul 21 09:40 PM -- 09:45 PM (KST)
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
In Reinforcement Learning 11
Austin W. Hanjie · Victor Zhong · Karthik Narasimhan
[ Paper ]
Spotlight
Wed Jul 21 09:45 PM -- 09:50 PM (KST)
Data-efficient Hindsight Off-policy Option Learning
In Reinforcement Learning 11
Markus Wulfmeier · Dushyant Rao · Roland Hafner · Thomas Lampe · Abbas Abdolmaleki · Tim Hertweck · Michael Neunert · Dhruva Tirumala Bukkapatnam · Noah Siegel · Nicolas Heess · Martin Riedmiller
[ Paper ]
Q&A
Wed Jul 21 09:50 PM -- 09:55 PM (KST)
Q&A
In Reinforcement Learning 11