Skip to yearly menu bar Skip to main content


(15 events)   Timezone:  
Show all
Toggle Poster Visibility
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
In Orals & Spotlights Track 04: Reinforcement Learning
Kyunghyun Lee · Byeong-Uk Lee · Ukcheol Shin · In So Kweon
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Novelty Search in Representational Space for Sample Efficient Exploration
In Orals & Spotlights Track 04: Reinforcement Learning
Ruo Yu Tao · Vincent Francois-Lavet · Joelle Pineau
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
In Orals & Spotlights Track 04: Reinforcement Learning
Michael Dennis · Natasha Jaques · Eugene Vinitsky · Alexandre Bayen · Stuart Russell · Andrew Critch · Sergey Levine
[ Paper ]
Break
Mon Dec 07 06:45 PM -- 07:00 PM (PST)
Break
In Orals & Spotlights Track 04: Reinforcement Learning
Spotlight
Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
First Order Constrained Optimization in Policy Space
In Orals & Spotlights Track 04: Reinforcement Learning
Yiming Zhang · Quan Vuong · Keith Ross
[ Paper ]
Spotlight
Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
CoinDICE: Off-Policy Confidence Interval Estimation
In Orals & Spotlights Track 04: Reinforcement Learning
Bo Dai · Ofir Nachum · Yinlam Chow · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Spotlight
Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
In Orals & Spotlights Track 04: Reinforcement Learning
Aviral Kumar · Abhishek Gupta · Sergey Levine
[ Paper ]
Spotlight
Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
In Orals & Spotlights Track 04: Reinforcement Learning
Yingjie Fei · Zhuoran Yang · Yudong Chen · Zhaoran Wang · Qiaomin Xie
[ Paper ]
Q&A
Mon Dec 07 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 04: Reinforcement Learning
Spotlight
Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
In Orals & Spotlights Track 04: Reinforcement Learning
Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang
[ Paper ]
Spotlight
Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
In Orals & Spotlights Track 04: Reinforcement Learning
Fan Yang · Alina Vereshchaka · Changyou Chen · Wen Dong
[ Paper ]
Spotlight
Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
In Orals & Spotlights Track 04: Reinforcement Learning
Kaiqing Zhang · Sham Kakade · Tamer Basar · Lin Yang
[ Paper ]
Spotlight
Mon Dec 07 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Safe Reinforcement Learning via Curriculum Induction
In Orals & Spotlights Track 04: Reinforcement Learning
Matteo Turchetta · Andrey Kolobov · Shital Shah · Andreas Krause · Alekh Agarwal
[ Paper ]
Q&A
Mon Dec 07 08:30 PM -- 08:40 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 04: Reinforcement Learning
Break
Mon Dec 07 08:40 PM -- 09:00 PM (PST)
Break
In Orals & Spotlights Track 04: Reinforcement Learning