Efficient Diffusion Policies for Offline Reinforcement Learning

31 May 2023

Papers citing "Efficient Diffusion Policies for Offline Reinforcement Learning"

22 / 22 papers shown

Title
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps Ningyuan Yang Jiaxuan Gao Feng Gao Yi Wu Chao Yu 38 0 0 15 May 2025
Adaptive Diffusion Policy Optimization for Robotic Manipulation Huiyun Jiang Zhuang Yang 31 0 0 13 May 2025
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu Sili Huang Zhengyuan Yang Shengchao Hu Li Shen H. Chen Lichao Sun Yi-Ju Chang Dacheng Tao OffRL 179 0 0 03 May 2025
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 54 0 0 25 Mar 2025
VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation Hanzhi Chen Boyang Sun Anran Zhang Marc Pollefeys Stefan Leutenegger LM&Ro 75 0 0 10 Mar 2025
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning Teng Pang Bingzheng Wang Guoqiang Wu Yilong Yin OffRL 73 0 0 03 Mar 2025
Uncertainty Comes for Free: Human-in-the-Loop Policies with Diffusion Models Zhanpeng He Yifeng Cao M. Ciocarlie 73 0 0 26 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng Xinsong Zhang 46 0 0 17 Feb 2025
Learning a Diffusion Model Policy from Rewards via Q-Score Matching Michael Psenka Alejandro Escontrela Pieter Abbeel Yi Ma DiffM 93 24 0 17 Feb 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 88 34 0 03 Jan 2025
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation Huy Le Miroslav Gabriel Tai Hoang Gerhard Neumann Ngo Anh Vien 114 1 0 22 Nov 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 36 0 0 27 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 39 0 0 21 Oct 2024
The State of Robot Motion Generation Kostas E. Bekris Joe H. Doerr Patrick Meng Sumanth Tangirala 3DV 36 2 0 16 Oct 2024
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction Ziyu Sun Haoyang Su E. Wang Funing Yang Yongjian Yang Wenbin Liu AI4TS DiffM 33 0 0 05 Oct 2024
Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner Chenyou Fan Chenjia Bai Zhao Shan Haoran He Yang Zhang Zhen Wang 33 3 0 30 Sep 2024
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design Yannick Vogt Mehdi Naouar M. Kalweit Christoph Cornelius Miething Justus Duyster Joschka Boedecker Gabriel Kalweit DiffM 37 0 0 09 Sep 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 70 25 0 31 May 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 56 2 0 31 May 2024
Boosting Continuous Control with Consistency Policy Yuhui Chen Haoran Li Dongbin Zhao OffRL 41 20 0 10 Oct 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 415 0 16 Feb 2021