AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

3 February 2023

Mingyu Ding

Ping Luo

Papers citing "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners"

32 / 82 papers shown

Title
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment Xudong Yu Chenjia Bai Haoran He Changhong Wang Xuelong Li 24 6 0 07 Apr 2024
Versatile Navigation under Partial Observability via Value-guided Diffusion Policy Gengyu Zhang Hao Tang Yan Yan 17 2 0 01 Apr 2024
Diffusion Model for Data-Driven Black-Box Optimization Zihao Li Hui Yuan Kaixuan Huang Chengzhuo Ni Yinyu Ye Minshuo Chen Mengdi Wang DiffM 19 9 0 20 Mar 2024
D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation Jun Yamada Shaohong Zhong Jack Collins Ingmar Posner 45 2 0 19 Mar 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li FaML 14 5 0 19 Mar 2024
DNAct: Diffusion Guided Multi-Task 3D Policy Learning Ge Yan Yueh-hua Wu Xiaolong Wang VGen 27 20 0 07 Mar 2024
Robust Policy Learning via Offline Skill Diffusion Woo Kyung Kim Minjong Yoo Honguk Woo OffRL 19 6 0 01 Mar 2024
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning Xiaoyu Zhang Matthew Chang Pranav Kumar Saurabh Gupta DiffM OffRL 43 13 0 27 Feb 2024
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations Tsung-Wei Ke N. Gkanatsios Katerina Fragkiadaki VGen 34 102 0 16 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL Sungyoon Kim Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim OffRL 15 5 0 11 Feb 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following Brian Yang Huangyuan Su N. Gkanatsios Tsung-Wei Ke Ayush Jain Jeff Schneider Katerina Fragkiadaki DiffM 37 19 0 09 Feb 2024
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching Guanghe Li Yixiang Shan Zhengbang Zhu Ting Long Weinan Zhang OffRL 13 9 0 04 Feb 2024
DiffuserLite: Towards Real-time Diffusion Planning Zibin Dong Jianye Hao Yifu Yuan Fei Ni Yitian Wang Pengyi Li Yan Zheng 69 14 0 27 Jan 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
Toward Open-ended Embodied Tasks Solving William Wei Wang Dongqi Han Xufang Luo Yifei Shen Charles X. Ling Boyu Wang Dongsheng Li AI4CE 8 5 0 10 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
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans Kyowoon Lee Seongun Kim Jaesik Choi DiffM 6 8 0 30 Oct 2023
Adaptive Online Replanning with Diffusion Models Siyuan Zhou Yilun Du Shun Zhang Mengdi Xu Yikang Shen Wei Xiao Dit-Yan Yeung Chuang Gan 11 22 0 14 Oct 2023
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning Longxiang He Li Shen Linrui Zhang Junbo Tan Xueqian Wang OffRL 20 8 0 09 Oct 2023
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model Zibin Dong Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Tangjie Lv Changjie Fan Zhipeng Hu 34 29 0 03 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 38 4 0 30 Sep 2023
EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning Kallol Saha V. Mandadi Jayaram Reddy Ajit Srikanth Aditya Agarwal Bipasha Sen Arun Singh Madhava Krishna DiffM 9 25 0 20 Sep 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement Hui Yuan Kaixuan Huang Chengzhuo Ni Minshuo Chen Mengdi Wang DiffM 8 34 0 13 Jul 2023
Elastic Decision Transformer Yueh-hua Wu Xiaolong Wang Masashi Hamaya OffRL 14 38 0 05 Jul 2023
Extracting Reward Functions from Diffusion Models Felipe Nuti Tim Franzmeyer João F. Henriques 17 14 0 01 Jun 2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning Haoran He Chenjia Bai Kang Xu Zhuoran Yang Weinan Zhang Dong Wang Bingyan Zhao Xuelong Li DiffM OffRL 16 88 0 29 May 2023
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 Zhouchen Lin DiffM 19 37 0 22 May 2023
Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models Carolina Higuera Byron Boots Mustafa Mukadam DiffM 25 25 0 03 Apr 2023
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 206 832 0 12 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020