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Workshop
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Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning
Ingook Jang · Seonghyun Kim
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Workshop
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Sparse Q-Learning: Offline Reinforcement Learning with Implicit Value Regularization
Haoran Xu · Li Jiang · Li Jianxiong · Zhuoran Yang · Zhaoran Wang · Xianyuan Zhan
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Workshop
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Offline evaluation in RL: soft stability weighting to combine fitted Q-learning and model-based methods
Briton Park · Xian Wu · Bin Yu · Angela Zhou
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Workshop
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CLaP: Conditional Latent Planners for Offline Reinforcement Learning
Harry Shin · Rose Wang
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Workshop
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Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
Soysal Degirmenci · Christopher S Jones
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Workshop
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Raisin: Residual Algorithms for Versatile Offline Reinforcement Learning
Braham Snyder · Yuke Zhu
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Workshop
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Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling
Ashish Kumar · Ilya Kuzovkin
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Workshop
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Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling
Ashish Kumar · Ilya Kuzovkin
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Poster
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Tue 14:00
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On Gap-dependent Bounds for Offline Reinforcement Learning
Xinqi Wang · Qiwen Cui · Simon Du
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Poster
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Wed 9:00
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Towards Learning Universal Hyperparameter Optimizers with Transformers
Yutian Chen · Xingyou Song · Chansoo Lee · Zi Wang · Richard Zhang · David Dohan · Kazuya Kawakami · Greg Kochanski · Arnaud Doucet · Marc'Aurelio Ranzato · Sagi Perel · Nando de Freitas
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Poster
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Thu 14:00
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Bellman Residual Orthogonalization for Offline Reinforcement Learning
Andrea Zanette · Martin J Wainwright
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Workshop
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Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
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