Diffusion Models for Reinforcement Learning: A Survey

2 November 2023

Tingting Chen

Weinan Zhang

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Papers citing "Diffusion Models for Reinforcement Learning: A Survey"

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Title
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients Stefano Bruno Sotirios Sabanis DiffM 24 0 0 06 May 2025
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models Hao Ren Yiming Zeng Zetong Bi Zhaoliang Wan Junlong Huang Hui Cheng 41 1 0 14 Apr 2025
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 47 0 0 25 Mar 2025
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 73 2 0 23 Oct 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization Gao Tianci Dmitriev D. Dmitry Konstantin A. Neusypin Yang Bo Rao Shengren OffRL 23 1 0 02 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 14 0 06 Aug 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 33 0 0 26 Jul 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie 58 6 0 08 Jun 2024
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games Zixuan Wu Sean Ye Manisha Natarajan Matthew C. Gombolay 54 6 0 16 Mar 2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation Jun Wang Yuzhe Qin Kaiming Kuang Yigit Korkmaz Akhilan Gurumoorthy Hao Su Xiaolong Wang 34 19 0 22 Feb 2024
Efficient Planning with Latent Diffusion Wenhao Li DiffM 27 2 0 30 Sep 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 71 65 0 12 Mar 2023
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics Ivan Kapelyukh Vitalis Vosylius Edward Johns LM&Ro DiffM 93 143 0 05 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 31 11 0 30 Sep 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 76 103 0 29 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 102 231 0 20 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 196 381 0 20 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 200 1,330 0 24 Jan 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 164 711 0 02 Mar 2021
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
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 137 1,599 0 02 Feb 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015
MCMC using Hamiltonian dynamics Radford M. Neal 127 3,260 0 09 Jun 2012