Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

25 April 2023

Cheng Lu

Huayu Chen

Jianfei Chen

Hang Su

Jun Zhu

Papers citing "Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning"

22 / 22 papers shown

Title
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning Teng Pang Bingzheng Wang Guoqiang Wu Yilong Yin OffRL 65 0 0 03 Mar 2025
Learning a Diffusion Model Policy from Rewards via Q-Score Matching Michael Psenka Alejandro Escontrela Pieter Abbeel Yi-An Ma DiffM 89 22 0 17 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng X. Zhang 36 0 0 17 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 53 4 0 09 Feb 2025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng Ruiming Liang Kexin Zheng Jinliang Zheng Liyuan Mao ... Weihao Gu Rui Ai Shengbo Eben Li Xianyuan Zhan Jingjing Liu 59 6 0 26 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 99 1 0 22 Nov 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 27 0 0 21 Oct 2024
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning Yu Zhang Rui Yu Zhipeng Yao Wenyuan Zhang Jun Wang Liming Zhang OffRL 35 0 0 05 Jun 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 60 24 0 31 May 2024
Transfer Learning for Diffusion Models Yidong Ouyang Liyan Xie Hongyuan Zha Guang Cheng DiffM 55 2 0 27 May 2024
Boosting Continuous Control with Consistency Policy Yuhui Chen Haoran Li Dongbin Zhao OffRL 27 18 0 10 Oct 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 13 7 0 04 Jul 2023
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 170 62 0 30 Sep 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation Gihyun Kwon Jong Chul Ye DiffM 147 149 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 85 103 0 29 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 768 0 27 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 770 0 27 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 832 0 12 Oct 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,561 0 18 Sep 2019
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric P. Xing BDL 55 156 0 05 Oct 2012