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27 Results

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Spotlight
Wed 10:30 DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
Poster
Wed 10:30 The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models
Cassidy Laidlaw · Anca Dragan
Poster
Mon 18:30 Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Johan Bjorck · Carla Gomes · Kilian Weinberger
Poster
Tue 10:30 Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
Bogdan Mazoure · Ahmed Ahmed · R Devon Hjelm · Andrey Kolobov · Patrick MacAlpine
Poster
Thu 18:30 Model-augmented Prioritized Experience Replay
Youngmin Oh · Jinwoo Shin · Eunho Yang · Sung Ju Hwang
Poster
Wed 18:30 Gradient Information Matters in Policy Optimization by Back-propagating through Model
Chongchong Li · Yue Wang · Wei Chen · Yuting Liu · Zhi-Ming Ma · Tie-Yan Liu
Poster
Tue 10:30 Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun · Ruijie Zheng · Xiyao Wang · Andrew Cohen · Furong Huang
Poster
Wed 10:30 DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
Poster
Wed 10:30 Information Prioritization through Empowerment in Visual Model-based RL
Homanga Bharadhwaj · Mohammad Babaeizadeh · Dumitru Erhan · Sergey Levine
Poster
Mon 2:30 The Role of Pretrained Representations for the OOD Generalization of RL Agents
Frederik Träuble · Andrea Dittadi · Manuel Wuthrich · Felix Widmaier · Peter Gehler · Ole Winther · Francesco Locatello · Olivier Bachem · Bernhard Schoelkopf · Stefan Bauer
Spotlight
Thu 10:30 Possibility Before Utility: Learning And Using Hierarchical Affordances
Robert S Costales · Shariq Iqbal · Fei Sha
Poster
Tue 10:30 MetaMorph: Learning Universal Controllers with Transformers
Agrim Gupta · Jim Fan · Surya Ganguli · Li Fei-Fei