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Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data

Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data

Ruiqi Zhang
Andrea Zanette
ArXiv (abs)PDFHTML

Papers citing "Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data"

5 / 5 papers shown
Title
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM
Thang Duong
Minglai Yang
Chicheng Zhang
OffRL
69
0
0
16 May 2025
On The Statistical Complexity of Offline Decision-Making
On The Statistical Complexity of Offline Decision-Making
Thanh Nguyen-Tang
R. Arora
OffRL
224
1
0
10 Jan 2025
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Chengrui Qu
Laixi Shi
Kishan Panaganti
Pengcheng You
Adam Wierman
OffRLOnRL
100
2
0
06 Nov 2024
Hybrid Reinforcement Learning from Offline Observation Alone
Hybrid Reinforcement Learning from Offline Observation Alone
Yuda Song
J. Andrew Bagnell
Aarti Singh
OffRL
125
2
0
11 Jun 2024
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
Emmeran Johnson
Ciara Pike-Burke
Patrick Rebeschini
OffRL
69
2
0
02 Oct 2023

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