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Confidence-Conditioned Value Functions for Offline Reinforcement
  Learning

Confidence-Conditioned Value Functions for Offline Reinforcement Learning

8 December 2022
Joey Hong
Aviral Kumar
Sergey Levine
    OffRL
ArXivPDFHTML

Papers citing "Confidence-Conditioned Value Functions for Offline Reinforcement Learning"

6 / 6 papers shown
Title
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate
  Exploration Bias
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Max Sobol Mark
Archit Sharma
Fahim Tajwar
Rafael Rafailov
Sergey Levine
Chelsea Finn
OffRL
OnRL
26
1
0
12 Oct 2023
Automatic Trade-off Adaptation in Offline RL
Automatic Trade-off Adaptation in Offline RL
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
29
0
0
16 Jun 2023
Anti-Exploration by Random Network Distillation
Anti-Exploration by Random Network Distillation
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Sergey Kolesnikov
30
24
0
31 Jan 2023
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
97
262
0
04 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
219
413
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
334
1,951
0
04 May 2020
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