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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 09:00 PM -- 09:20 PM (KST)
Phasic Policy Gradient
In Deep Reinforcement Learning 1
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
[ Paper ]
Spotlight
Tue Jul 20 09:20 PM -- 09:25 PM (KST)
Reinforcement Learning with Prototypical Representations
In Deep Reinforcement Learning 1
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
[ Paper ]
Spotlight
Tue Jul 20 09:25 PM -- 09:30 PM (KST)
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
In Deep Reinforcement Learning 1
Seungyul Han · Youngchul Sung
[ Paper ]
Spotlight
Tue Jul 20 09:30 PM -- 09:35 PM (KST)
Muesli: Combining Improvements in Policy Optimization
In Deep Reinforcement Learning 1
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
[ Paper ]
Spotlight
Tue Jul 20 09:35 PM -- 09:40 PM (KST)
Unsupervised Learning of Visual 3D Keypoints for Control
In Deep Reinforcement Learning 1
Boyuan Chen · Pieter Abbeel · Deepak Pathak
[ Paper ]
Spotlight
Tue Jul 20 09:40 PM -- 09:45 PM (KST)
Learning Task Informed Abstractions
In Deep Reinforcement Learning 1
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
[ Paper ]
Spotlight
Tue Jul 20 09:45 PM -- 09:50 PM (KST)
State Entropy Maximization with Random Encoders for Efficient Exploration
In Deep Reinforcement Learning 1
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
[ Paper ]
Q&A
Tue Jul 20 09:50 PM -- 09:55 PM (KST)
Q&A
In Deep Reinforcement Learning 1