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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

10 July 2023
Ruiqi Zhang
Andrea Zanette
    OffRL
    OnRL
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Papers citing "Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data"

12 / 12 papers shown
Title
On The Statistical Complexity of Offline Decision-Making
On The Statistical Complexity of Offline Decision-Making
Thanh Nguyen-Tang
R. Arora
OffRL
31
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
OffRL
OnRL
34
0
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
71
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
11
2
0
02 Oct 2023
Optimal Conservative Offline RL with General Function Approximation via
  Augmented Lagrangian
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Paria Rashidinejad
Hanlin Zhu
Kunhe Yang
Stuart J. Russell
Jiantao Jiao
OffRL
33
26
0
01 Nov 2022
Offline Reinforcement Learning with Differentiable Function
  Approximation is Provably Efficient
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
Ming Yin
Mengdi Wang
Yu-Xiang Wang
OffRL
43
11
0
03 Oct 2022
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning
  with Linear Function Approximation
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao
Yu-Xiang Wang
OffRL
61
13
0
03 Oct 2022
Batched Dueling Bandits
Batched Dueling Bandits
Arpit Agarwal
R. Ghuge
V. Nagarajan
117
10
0
22 Feb 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
91
144
0
13 Jul 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
107
166
0
06 Jan 2021
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
104
194
0
07 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
143
1,599
0
02 Feb 2020
1