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FOSP: Fine-tuning Offline Safe Policy through World Models

FOSP: Fine-tuning Offline Safe Policy through World Models

6 July 2024
Chenyang Cao
Yucheng Xin
Silang Wu
Longxiang He
Zichen Yan
Junbo Tan
Xueqian Wang
    OffRL
ArXivPDFHTML

Papers citing "FOSP: Fine-tuning Offline Safe Policy through World Models"

5 / 5 papers shown
Title
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical
  Tasks with Recovery Policy
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao
Zichen Yan
Renhao Lu
Junbo Tan
Xueqian Wang
OffRL
31
2
0
04 Mar 2024
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online
  Fine-Tuning
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto
Yuexiang Zhai
Anika Singh
Max Sobol Mark
Yi-An Ma
Chelsea Finn
Aviral Kumar
Sergey Levine
OffRL
OnRL
109
68
0
09 Mar 2023
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
203
627
0
12 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
194
412
0
16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,662
0
04 May 2020
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