Policy Representation via Diffusion Probability Model for Reinforcement Learning

22 May 2023

Cong Fang

Papers citing "Policy Representation via Diffusion Probability Model for Reinforcement Learning"

34 / 34 papers shown

Title
COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning Yuki Tomita Kohei Matsumoto Yuki Hyodo Ryo Kurazume 56 0 0 18 Mar 2025
Fast Visuomotor Policies via Partial Denoising Haojun Chen Minghao Liu Xiaojian Ma Zailin Ma Huimin Wu ... Yuanpei Chen Yifan Zhong Mingzhi Wang Qing Li Yaodong Yang VGen 27 0 0 01 Mar 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun Pengxiang Ding Weinan Zhang Donglin Wang OT 70 0 0 24 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng X. Zhang 36 0 0 17 Feb 2025
Habitizing Diffusion Planning for Efficient and Effective Decision Making Haofei Lu Yifei Shen Dongsheng Li Junliang Xing Dongqi Han 59 0 0 10 Feb 2025
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning Haque Ishfaq Guangyuan Wang Sami Nur Islam Doina Precup 41 2 0 29 Jan 2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model Xiu Yuan Tongzhou Mu Stone Tao Yunhao Fang Mengke Zhang H. Su OffRL 59 0 0 18 Dec 2024
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone Max Sobol Mark Tian Gao Georgia Gabriela Sampaio M. K. Srirama Archit Sharma Chelsea Finn Aviral Kumar OffRL OnRL 83 3 0 09 Dec 2024
Unpacking the Individual Components of Diffusion Policy Xiu Yuan 77 0 0 27 Nov 2024
M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes Sixu Yan Zeyu Zhang Muzhi Han Zaijin Wang Qi Xie Zhitian Li Zhehan Li Hangxin Liu Xinggang Wang Song-Chun Zhu 52 4 0 15 Oct 2024
Sampling from Energy-based Policies using Diffusion V. Jain Tara Akhound-Sadegh Siamak Ravanbakhsh DiffM 31 1 0 02 Oct 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization Haoran Li Zhennan Jiang Yuhui Chen Dongbin Zhao OffRL 21 2 0 28 Sep 2024
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation Kun Wu Yichen Zhu Jinming Li Junjie Wen Ning Liu Zhiyuan Xu Qinru Qiu 33 4 0 27 Sep 2024
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation Minjie Zhu Yichen Zhu Jinming Li Junjie Wen Zhiyuan Xu ... Ran Cheng Chaomin Shen Yaxin Peng Feifei Feng Jian Tang 28 13 0 22 Sep 2024
Diffusion Policy Policy Optimization Allen Z. Ren Justin Lidard Lars L. Ankile Anthony Simeonov Pulkit Agrawal Anirudha Majumdar Benjamin Burchfiel Hongkai Dai Max Simchowitz 39 31 0 01 Sep 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Zechu Li Rickmer Krohn Tao Chen Anurag Ajay Pulkit Agrawal Georgia Chalvatzaki DiffM 42 7 0 02 Jun 2024
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 41 1 0 31 May 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization Shutong Ding Ke Hu Zhenhao Zhang Kan Ren Weinan Zhang Jingyi Yu Jingya Wang Ye-ling Shi 26 6 0 25 May 2024
Diffusion Actor-Critic with Entropy Regulator Yinuo Wang Likun Wang Yuxuan Jiang Wenjun Zou Tong Liu ... Wenxuan Wang Liming Xiao Jiang Wu Jingliang Duan Shengbo Eben Li DiffM 40 7 0 24 May 2024
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets Xiaoyu Huang Yufeng Chi Ruofeng Wang Zhongyu Li Xue Bin Peng Sophia Shao Borivoje Nikolic K. Sreenath OffRL 54 23 0 30 Apr 2024
Policy Bifurcation in Safe Reinforcement Learning Wenjun Zou Yao Lyu Jie Li Yujie Yang Shengbo Eben Li Jingliang Duan Xianyuan Zhan Jingjing Liu Yaqin Zhang Keqiang Li 27 1 0 19 Mar 2024
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution Zhixuan Liang Yao Mu Hengbo Ma Masayoshi Tomizuka Mingyu Ding Ping Luo 25 37 0 18 Dec 2023
Diffusion Models for Reinforcement Learning: A Survey Zhengbang Zhu Hanye Zhao Haoran He Yichao Zhong Shenyu Zhang Haoquan Guo Tingting Chen Weinan Zhang 27 58 0 02 Nov 2023
Boosting Continuous Control with Consistency Policy Yuhui Chen Haoran Li Dongbin Zhao OffRL 27 18 0 10 Oct 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 90 148 0 07 Mar 2023
CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li Shuang Luo Haozhi Wang Jianye Hao 81 20 0 04 Mar 2023
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics Ivan Kapelyukh Vitalis Vosylius Edward Johns LM&Ro DiffM 96 143 0 05 Oct 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 82 103 0 29 Sep 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 177 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 245 0 22 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 165 0 31 Jan 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020