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Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits

Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits

26 May 2025
Fan Chen
Zeyu Jia
Alexander Rakhlin
Tengyang Xie
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits"

2 / 2 papers shown
Title
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Shicong Cen
Jincheng Mei
Katayoon Goshvadi
Hanjun Dai
Tong Yang
Sherry Yang
Dale Schuurmans
Yuejie Chi
Bo Dai
OffRL
152
37
0
20 Feb 2025
Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
Tal Lancewicki
Yishay Mansour
OffRL
101
2
0
06 Feb 2025
1