Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Phasic Policy Gradient
In Deep Reinforcement Learning 1
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Reinforcement Learning with Prototypical Representations
In Deep Reinforcement Learning 1
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
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 05:30 AM -- 05:35 AM (PDT)
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 05:35 AM -- 05:40 AM (PDT)
Unsupervised Learning of Visual 3D Keypoints for Control
In Deep Reinforcement Learning 1
Boyuan Chen · Pieter Abbeel · Deepak Pathak
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Learning Task Informed Abstractions
In Deep Reinforcement Learning 1
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
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 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Reinforcement Learning 1