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Diffusion Guidance Is a Controllable Policy Improvement Operator

Diffusion Guidance Is a Controllable Policy Improvement Operator

29 May 2025
Kevin Frans
Seohong Park
Pieter Abbeel
Sergey Levine
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Diffusion Guidance Is a Controllable Policy Improvement Operator"

3 / 3 papers shown
Title
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
Michael Psenka
Alejandro Escontrela
Pieter Abbeel
Yi-An Ma
DiffM
156
33
0
17 Feb 2025
OGBench: Benchmarking Offline Goal-Conditioned RL
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
146
29
0
26 Oct 2024
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
Linjiajie Fang
Ruoxue Liu
Jing Zhang
Wenjia Wang
Bing-Yi Jing
OffRL
166
7
0
31 May 2024
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