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Workshop
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Fri 8:15
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Paper 12: SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving
· Li Shen · Bo Yuan · Xueqian Wang
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Poster
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Thu 15:00
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A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Weichao Zhou · Wenchao Li
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Workshop
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Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
Hanping Zhang · Yuhong Guo
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Workshop
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DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
Quan Vuong · Aviral Kumar · Sergey Levine · Yevgen Chebotar
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Spotlight
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Wed 7:35
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Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Vladislav Kurenkov · Sergey Kolesnikov
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Workshop
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Sat 10:30
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Estimating Policy Functions in Payments Systems Using Reinforcement Learning
Pablo Samuel Castro
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Spotlight
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Wed 7:40
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Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Yunfei Li · Tian Gao · Jiaqi Yang · Huazhe Xu · Yi Wu
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Spotlight
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Thu 13:40
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How to Leverage Unlabeled Data in Offline Reinforcement Learning
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Chelsea Finn · Sergey Levine
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Workshop
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A Decision Metric for the Use of a Deep Reinforcement Learning Policy
Christina Selby · Edward Staley
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Spotlight
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Thu 8:45
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Branching Reinforcement Learning
Yihan Du · Wei Chen
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Spotlight
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Wed 14:55
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Goal Misgeneralization in Deep Reinforcement Learning
Lauro Langosco di Langosco · Jack Koch · Lee Sharkey · Jacob Pfau · David Krueger
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Spotlight
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Wed 10:25
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Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
Yingjie Fei · Ruitu Xu
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