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Poster
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Thu 8:45
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Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL
Yang Yue · Rui Lu · Bingyi Kang · Shiji Song · Gao Huang
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Workshop
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Scaling Offline Q-Learning with Vision Transformers
Yingjie Miao · Jordi Orbay · Rishabh Agarwal · Aviral Kumar · George Tucker · Aleksandra Faust
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Workshop
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Scaling Offline Q-Learning with Vision Transformers
Yingjie Miao · Jordi Orbay · Rishabh Agarwal · Aviral Kumar · George Tucker · Aleksandra Faust
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Poster
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Wed 8:45
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Corruption-Robust Offline Reinforcement Learning with General Function Approximation
Chenlu Ye · Rui Yang · Quanquan Gu · Tong Zhang
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Poster
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Thu 8:45
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Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
Ruiqi Zhang · Andrea Zanette
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Poster
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Thu 8:45
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Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
Hanlin Zhu · Amy Zhang
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Poster
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Tue 8:45
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Offline Reinforcement Learning with Differential Privacy
Dan Qiao · Yu-Xiang Wang
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Poster
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Wed 15:00
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Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
Jing Zhang · Chi Zhang · Wenjia Wang · Bingyi Jing
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Workshop
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Sat 7:30
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[Paper-Oral 1] Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
Hao Sun · Alihan Hüyük · Mihaela van der Schaar
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Poster
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Tue 15:15
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A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories
Kai Yan · Alex Schwing · Yu-Xiong Wang
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Poster
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Tue 8:45
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Provably (More) Sample-Efficient Offline RL with Options
Xiaoyan Hu · Ho-fung Leung
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Poster
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Tue 15:15
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Budgeting Counterfactual for Offline RL
Yao Liu · Yao Liu · Pratik Chaudhari · Rasool Fakoor
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