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Diffusion models have garnered widespread attention in Reinforcement Learning (RL) for their powerful expressiveness and multimodality.
Policy gradient methods for reinforcement learning with function approximation
Richard S Sutton, David McAllester, Satinder Singh, and Yishay Mansour · 1999
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Reinforcement learning by reward-weighted regression for operational space control
Jan Peters and Stefan Schaal · 2007
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Relative entropy policy search
Jan Peters, Katharina Mulling, and Yasemin Altun · 2010
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Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Addressing function approximation error in actor-critic methods
Scott Fujimoto, Herke Hoof, and David Meger · 2018
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Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Advantage-weighted regression: Simple and scalable off-policy reinforcement learning
Xue Bin Peng, Aviral Kumar, Grace Zhang, and Sergey Levine · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Offline reinforcement learning: Tutorial, review, and perspectives on open problems
Sergey Levine, Aviral Kumar, George Tucker, and Justin Fu · 2020
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Is conditional generative modeling all you need for decision-making?
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua Tenenbaum, Tommi Jaakkola, and Pulkit Agrawal · 2022
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Offline reinforcement learning via high-fidelity generative behavior modeling
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, and Jun Zhu · 2022
Cited alongside, same era.
Planning with diffusion for flexible behavior synthesis
Michael Janner, Yilun Du, Joshua B Tenenbaum, and Sergey Levine · 2022
Cited alongside, same era.
Diffusion policies as an expressive policy class for offline reinforcement learning
Zhendong Wang, Jonathan J Hunt, and Mingyuan Zhou · 2022
Cited alongside, same era.
Boosting continuous control with consistency policy
Yuhui Chen, Haoran Li, and Dongbin Zhao · 2023
Cited alongside, same era.
Diffusion policy: Visuomotor policy learning via action diffusion
Goal-conditioned imitation learning using score-based diffusion policies
Moritz Reuss, Maximilian Li, Xiaogang Jia, and Rudolf Lioutikov · 2023
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Movement primitive diffusion: Learning gentle robotic manipulation of deformable objects, 2023
Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, and Franziska Mathis-Ullrich · 2023
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Nomad: Goal masked diffusion policies for navigation and exploration, 2023
Ajay Sridhar, Dhruv Shah, Catherine Glossop, and Sergey Levine · 2023
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Policy representation via diffusion probability model for reinforcement learning
Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, and Zhouchen Lin · 2023
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Madiff: Offline multi-agent learning with diffusion models, 2023
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, and Weinan Zhang · 2023
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Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, and Shuran Song · 2023
Cited alongside, same era.
Idql: Implicit q-learning as an actor-critic method with diffusion policies
Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, and Sergey Levine · 2023
Cited alongside, same era.
Diffcps: Diffusion model based constrained policy search for offline reinforcement learning
Longxiang He, Linrui Zhang, Junbo Tan, and Xueqian Wang · 2023
Cited alongside, same era.
Learning to act from actionless videos through dense correspondences, 2023
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, and Joshua B. Tenenbaum · 2023
Cited alongside, same era.
Efficient planning with latent diffusion
Wenhao Li · 2023
Cited alongside, same era.
Hierarchical diffusion for offline decision making
Wenhao Li, Xiangfeng Wang, Bo Jin, and Hongyuan Zha · 2023
Cited alongside, same era.
Crossway Diffusion: Improving diffusion-based visuomotor policy via self-supervised learning
Xiang Li, Varun Belagali, Jinghuan Shang, and Michael S Ryoo · 2023
Cited alongside, same era.
Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, and Jun Zhu · 2023
Cited alongside, same era.
Later among the works it cites.
Diffusion models for reinforcement learning: A survey
Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, and Weinan Zhang · 2023
Later among the works it cites.
Diffusion policies for out-of-distribution generalization in offline reinforcement learning
Suzan Ece Ada, Erhan Oztop, and Emre Ugur · 2024
Closest in time.
Simple hierarchical planning with diffusion
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, and Sungjin Ahn · 2024
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DiffuserLite: Towards real-time diffusion planning
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, and Yan Zheng · 2024
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Diffuseloco: Real-time legged locomotion control with diffusion from offline datasets, 2024
Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Sophia Shao, Borivoje Nikolic, and Koushil Sreenath · 2024
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Efficient diffusion policies for offline reinforcement learning
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, and Shuicheng Yan · 2024
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3d diffuser actor: Policy diffusion with 3d scene representations, 2024
Tsung-Wei Ke, Nikolaos Gkanatsios, and Katerina Fragkiadaki · 2024
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Learning visuotactile skills with two multifingered hands, 2024
Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, and Jitendra Malik · 2024
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Guidance with spherical gaussian constraint for conditional diffusion
Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, and Ye Shi · 2024
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Versatile navigation under partial observability via value-guided diffusion policy, 2024
Gengyu Zhang, Hao Tang, and Yan Yan · 2024
Closest in time.