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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #201
Convergent Policy Optimization for Safe Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Ming Yu · Zhuoran Yang · Mladen Kolar · Zhaoran Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #202
Experience Replay for Continual Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
David Rolnick · Arun Ahuja · Jonathan Richard Schwarz · Timothy Lillicrap · Gregory Wayne
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #203
Exploration via Hindsight Goal Generation
In Reinforcement Learning and Planning -- Reinforcement Learning
Zhizhou Ren · Kefan Dong · Yuan Zhou · Qiang Liu · Jian Peng
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #204
Hindsight Credit Assignment
In Reinforcement Learning and Planning -- Reinforcement Learning
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #205
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
In Reinforcement Learning and Planning -- Reinforcement Learning
Chao Yang · Xiaojian Ma · Wenbing Huang · Fuchun Sun · Huaping Liu · Junzhou Huang · Chuang Gan
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #206
Importance Resampling for Off-policy Prediction
In Reinforcement Learning and Planning -- Reinforcement Learning
Matthew Schlegel · Wesley Chung · Daniel Graves · Jian Qian · Martha White
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #207
Learning Compositional Neural Programs with Recursive Tree Search and Planning
In Reinforcement Learning and Planning -- Reinforcement Learning
Thomas PIERROT · Guillaume Ligner · Scott Reed · Olivier Sigaud · Nicolas Perrin · Alexandre Laterre · David Kas · Karim Beguir · Nando de Freitas
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #208
Multi-View Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Minne Li · Lisheng Wu · Jun WANG · Haitham Bou Ammar
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #209
Real-Time Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Simon Ramstedt · Chris Pal
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #210
Reconciling λ-Returns with Experience Replay
In Reinforcement Learning and Planning -- Reinforcement Learning
Brett Daley · Christopher Amato
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #211
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
In Reinforcement Learning and Planning -- Reinforcement Learning
Zihan Zhang · Xiangyang Ji
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #212
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
In Reinforcement Learning and Planning -- Reinforcement Learning
Suyoung Lee · Sungik Choi · Sae-Young Chung
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #213
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
In Reinforcement Learning and Planning -- Reinforcement Learning
Andrey Kolobov · Yuval Peres · Cheng Lu · Eric Horvitz
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #214
Trust Region-Guided Proximal Policy Optimization
In Reinforcement Learning and Planning -- Reinforcement Learning
Yuhui Wang · Hao He · Xiaoyang Tan · Yaozhong Gan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #215
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Harm Van Seijen · Mehdi Fatemi · Arash Tavakoli
[ Paper]  [ Poster]