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Poster
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Thu 11:00
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Periodic agent-state based Q-learning for POMDPs
Amit Sinha · Matthieu Geist · Aditya Mahajan
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Poster
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Wed 16:30
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REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
Liang-Hsuan Tseng · En-Pei Hu · Cheng-Han Chiang · Yuan Tseng · Hung-yi Lee · Lin-shan Lee · Shao-Hua Sun
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Workshop
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Information-Theoretic Generalization Bounds for Batch Reinforcement Learning
Xingtu Liu
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Poster
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Fri 16:30
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Truncated Variance Reduced Value Iteration
Yujia Jin · Ishani Karmarkar · Aaron Sidford · Jiayi Wang
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Poster
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Thu 11:00
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On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang · Nan Jiang
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Poster
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Thu 11:00
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Risk-sensitive control as inference with Rényi divergence
Kaito Ito · Kenji Kashima
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Poster
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Wed 16:30
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Reinforcement Learning with Lookahead Information
Nadav Merlis
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Poster
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Wed 16:30
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Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time
Jeremy McMahan
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Poster
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Fri 11:00
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Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
Frédéric Berdoz · Roger Wattenhofer
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Poster
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Wed 16:30
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Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
Audrey Huang · Nan Jiang
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Oral
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Wed 15:50
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The Sample-Communication Complexity Trade-off in Federated Q-Learning
Sudeep Salgia · Yuejie Chi
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Poster
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Fri 11:00
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Regularized Q-Learning
Han-Dong Lim · Donghwan Lee
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