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Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
In Orals & Spotlights Track 14: Reinforcement Learning
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
[ Paper ]
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Learning Individually Inferred Communication for Multi-Agent Cooperation
In Orals & Spotlights Track 14: Reinforcement Learning
gang Ding · Tiejun Huang · Zongqing Lu
[ Paper ]
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Can Temporal-Diļ¬€erence and Q-Learning Learn Representation? A Mean-Field Theory
In Orals & Spotlights Track 14: Reinforcement Learning
Yufeng Zhang · Qi Cai · Zhuoran Yang · Yongxin Chen · Zhaoran Wang
[ Paper ]
Break
Tue Dec 08 06:45 PM -- 07:00 PM (PST)
Break
In Orals & Spotlights Track 14: Reinforcement Learning
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Reinforcement Learning with Augmented Data
In Orals & Spotlights Track 14: Reinforcement Learning
Misha Laskin · Kimin Lee · Adam Stooke · Lerrel Pinto · Pieter Abbeel · Aravind Srinivas
[ Paper ]
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Sub-sampling for Efficient Non-Parametric Bandit Exploration
In Orals & Spotlights Track 14: Reinforcement Learning
Dorian Baudry · Emilie Kaufmann · Odalric-Ambrym Maillard
[ Paper ]
Spotlight
Tue Dec 08 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
In Orals & Spotlights Track 14: Reinforcement Learning
Simon Stepputtis · Joseph Campbell · Mariano Phielipp · Stefan Lee · Chitta Baral · Heni Ben Amor
[ Paper ]
Spotlight
Tue Dec 08 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Reinforcement Learning
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
In Orals & Spotlights Track 14: Reinforcement Learning
Qing Feng · Ben Letham · Hongzi Mao · Eytan Bakshy
[ Paper ]
Q&A
Tue Dec 08 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 14: Reinforcement Learning
Spotlight
Tue Dec 08 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Policy Improvement via Imitation of Multiple Oracles
In Orals & Spotlights Track 14: Reinforcement Learning
Ching-An Cheng · Andrey Kolobov · Alekh Agarwal
[ Paper ]
Spotlight
Tue Dec 08 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
In Orals & Spotlights Track 14: Reinforcement Learning
Tianren Zhang · Shangqi Guo · Tian Tan · Xiaolin Hu · Feng Chen
[ Paper ]
Spotlight
Tue Dec 08 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Avoiding Side Effects in Complex Environments
In Orals & Spotlights Track 14: Reinforcement Learning
Alex Turner · Neale Ratzlaff · Prasad Tadepalli
[ Paper ]
Spotlight
Tue Dec 08 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Preference-based Reinforcement Learning with Finite-Time Guarantees
In Orals & Spotlights Track 14: Reinforcement Learning
Yichong Xu · Ruosong Wang · Lin Yang · Aarti Singh · Artur Dubrawski
[ Paper ]
Q&A
Tue Dec 08 08:30 PM -- 08:40 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 14: Reinforcement Learning
Break
Tue Dec 08 08:40 PM -- 09:00 PM (PST)
Break
In Orals & Spotlights Track 14: Reinforcement Learning