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Poster
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Wed 17:00
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Unsupervised Curricula for Visual Meta-Reinforcement Learning
Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn
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Poster
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Thu 10:45
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Stochastic Bandits with Context Distributions
Johannes Kirschner · Andreas Krause
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Poster
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Wed 17:00
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Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott · Stephan Zheng · Caiming Xiong · Richard Socher
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Poster
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Tue 17:30
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Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
Suyoung Lee · Sungik Choi · Sae-Young Chung
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Poster
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Wed 10:45
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Language as an Abstraction for Hierarchical Deep Reinforcement Learning
YiDing Jiang · Shixiang (Shane) Gu · Kevin Murphy · Chelsea Finn
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Poster
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Wed 17:00
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Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Lantao Yu · Tianhe Yu · Chelsea Finn · Stefano Ermon
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Poster
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Wed 17:00
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Pure Exploration with Multiple Correct Answers
Rémy Degenne · Wouter Koolen
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Poster
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Wed 10:45
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SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies
Kamyar Ghasemipour · Shixiang (Shane) Gu · Richard Zemel
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Poster
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Wed 17:00
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Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
Gregory Farquhar · Shimon Whiteson · Jakob Foerster
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Poster
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Wed 17:00
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Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
Shuyue Hu · Chin-wing Leung · Ho-fung Leung
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Poster
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Tue 10:45
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Provably Efficient Q-Learning with Low Switching Cost
Yu Bai · Tengyang Xie · Nan Jiang · Yu-Xiang Wang
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Poster
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Tue 10:45
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Safe Exploration for Interactive Machine Learning
Matteo Turchetta · Felix Berkenkamp · Andreas Krause
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