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Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on
  Efficient Data Utilization

Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization

15 February 2024
Yihan Du
Anna Winnicki
Gal Dalal
Shie Mannor
R. Srikant
ArXivPDFHTML

Papers citing "Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization"

2 / 2 papers shown
Title
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Jiawei Huang
Bingcong Li
Christoph Dann
Niao He
OffRL
226
3
0
26 Feb 2025
Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis
Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis
Qining Zhang
Honghao Wei
Lei Ying
OffRL
100
2
0
11 Jun 2024
1