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Workshop		Raisin: Residual Algorithms for Versatile Offline Reinforcement Learning Braham Snyder · Yuke Zhu
Workshop		CLaP: Conditional Latent Planners for Offline Reinforcement Learning Harry Shin · Rose Wang
Workshop		Confidence-Conditioned Value Functions for Offline Reinforcement Learning Joey Hong · Aviral Kumar · Sergey Levine
Workshop		Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation Soysal Degirmenci · Christopher S Jones
Workshop		Confidence-Conditioned Value Functions for Offline Reinforcement Learning Joey Hong · Aviral Kumar · Sergey Levine
Workshop		Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints Anikait Singh · Aviral Kumar · Quan Vuong · Yevgen Chebotar · Sergey Levine
Workshop		Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints Anikait Singh · Aviral Kumar · Quan Vuong · Yevgen Chebotar · Sergey Levine
Workshop		Sparse Q-Learning: Offline Reinforcement Learning with Implicit Value Regularization Haoran Xu · Li Jiang · Li Jianxiong · Zhuoran Yang · Zhaoran Wang · Xianyuan Zhan
Workshop		Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang · jonathan j hunt · Mingyuan Zhou
Workshop		User-Interactive Offline Reinforcement Learning Phillip Swazinna · Steffen Udluft · Thomas Runkler
Workshop		Boosting Offline Reinforcement Learning via Data Resampling Yang Yue · Bingyi Kang · Xiao Ma · Zhongwen Xu · Gao Huang · Shuicheng Yan
Workshop		Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data Sunil Madhow · Dan Qiao · Yu-Xiang Wang