Is Conditional Generative Modeling all you need for Decision-Making?

28 November 2022

Papers citing "Is Conditional Generative Modeling all you need for Decision-Making?"

33 / 283 papers shown

Title
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion Xiusi Chen Wei-Yao Wang Ziniu Hu David Reynoso Kun Jin Mingyan D. Liu P. Brantingham Wei Wang DiffM 31 3 0 07 Jun 2023
Extracting Reward Functions from Diffusion Models Felipe Nuti Tim Franzmeyer João F. Henriques 17 14 0 01 Jun 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL Fei Ni Jianye Hao Yao Mu Yifu Yuan Yan Zheng Bin Wang Zhixuan Liang DiffM OffRL 43 42 0 31 May 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 19 88 0 29 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 39 312 0 22 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
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 16 4 0 21 May 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models Wenhao Ding Tong Che Ding Zhao Marco Pavone BDL OffRL 9 2 0 18 May 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 11 58 0 25 Apr 2023
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies Philippe Hansen-Estruch Ilya Kostrikov Michael Janner J. Kuba Sergey Levine OffRL 20 125 0 20 Apr 2023
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks Hongyang Du Ruichen Zhang Fellow Ieee Dusit Niyato Jiawen Kang Zehui Xiong Fellow Ieee Dong In Kim Fellow Ieee Sherman Shen X. Shen L. F. I. H. Vincent Poor DiffM 68 74 0 07 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 10 153 0 05 Apr 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 23 20 0 03 Apr 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Brehmer Joey Bose P. D. Haan Taco S. Cohen DiffM 20 32 0 22 Mar 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 84 65 0 12 Mar 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 14 1,009 0 07 Mar 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
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation Utkarsh Aashu Mishra Yongxin Chen 8 20 0 28 Feb 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang Yao Mu Mingyu Ding Fei Ni M. Tomizuka Ping Luo 57 98 0 03 Feb 2023
Learning Universal Policies via Text-Guided Video Generation Yilun Du Mengjiao Yang Bo Dai H. Dai Ofir Nachum J. Tenenbaum Dale Schuurmans Pieter Abbeel PINN LM&Ro 8 229 0 31 Jan 2023
Imitating Human Behaviour with Diffusion Models Tim Pearce Tabish Rashid Anssi Kanervisto David Bignell Mingfei Sun ... Sergio Valcarcel Macua Shan Zheng Tan Ida Momennejad Katja Hofmann Sam Devlin DiffM 15 200 0 25 Jan 2023
Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh S. Kasiviswanathan B. Kveton Patrick Blobaum DiffM 6 7 0 12 Jan 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 22 55 0 08 Jan 2023
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 21 132 0 24 Nov 2022
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects Weiyu Liu Yilun Du Tucker Hermans Sonia Chernova Chris Paxton DiffM 21 53 0 08 Nov 2022
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks Edwin Zhang Yujie Lu William Wang Amy Zhang DiffM LM&Ro 19 16 0 27 Oct 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 47 118 0 08 Sep 2022
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang Jonathan J. Hunt Mingyuan Zhou OffRL 11 328 0 12 Aug 2022
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments Keiran Paster Sheila A. McIlraith Jimmy Ba OffRL 133 27 0 31 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 206 832 0 12 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 138 84 0 22 Sep 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