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Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
In Orals & Spotlights Track 09: Reinforcement Learning
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Escaping the Gravitational Pull of Softmax
In Orals & Spotlights Track 09: Reinforcement Learning
Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Reinforcement Learning
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
In Orals & Spotlights Track 09: Reinforcement Learning
Alekh Agarwal · Sham Kakade · Akshay Krishnamurthy · Wen Sun
[ Paper ]
Break
Tue Dec 08 06:45 AM -- 07:00 AM (PST)
Break
In Orals & Spotlights Track 09: Reinforcement Learning
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Interferobot: aligning an optical interferometer by a reinforcement learning agent
In Orals & Spotlights Track 09: Reinforcement Learning
Dmitry Sorokin · Alexander Ulanov · Ekaterina Sazhina · Alexander Lvovsky
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
On Efficiency in Hierarchical Reinforcement Learning
In Orals & Spotlights Track 09: Reinforcement Learning
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Finite-Time Analysis for Double Q-learning
In Orals & Spotlights Track 09: Reinforcement Learning
Huaqing Xiong · Lin Zhao · Yingbin Liang · Wei Zhang
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
In Orals & Spotlights Track 09: Reinforcement Learning
Yi Tian · Jian Qian · Suvrit Sra
[ Paper ]
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 09: Reinforcement Learning
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
In Orals & Spotlights Track 09: Reinforcement Learning
Sebastian Curi · Felix Berkenkamp · Andreas Krause
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Model-based Policy Optimization with Unsupervised Model Adaptation
In Orals & Spotlights Track 09: Reinforcement Learning
Jian Shen · Han Zhao · Weinan Zhang · Yong Yu
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
In Orals & Spotlights Track 09: Reinforcement Learning
Junyu Zhang · Alec Koppel · Amrit Singh Bedi · Csaba Szepesvari · Mengdi Wang
[ Paper ]
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
In Orals & Spotlights Track 09: Reinforcement Learning
Chi Jin · Sham Kakade · Akshay Krishnamurthy · Qinghua Liu
[ Paper ]
Q&A
Tue Dec 08 08:30 AM -- 08:40 AM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 09: Reinforcement Learning
Break
Tue Dec 08 08:40 AM -- 09:00 AM (PST)
Break
In Orals & Spotlights Track 09: Reinforcement Learning