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?"

37 / 287 papers shown

Title
Language-Guided Traffic Simulation via Scene-Level Diffusion Ziyuan Zhong Davis Rempe Yuxiao Chen Boris Ivanovic Yulong Cao Danfei Xu Marco Pavone Baishakhi Ray DiffM 30 80 0 10 Jun 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models Siyan Zhao Aditya Grover OffRL 18 7 0 09 Jun 2023
Value function estimation using conditional diffusion models for control Bogdan Mazoure Walter A. Talbott Miguel Angel Bautista R. Devon Hjelm Alexander Toshev J. Susskind DiffM 30 4 0 09 Jun 2023
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning Jifeng Hu Yan Sun Sili Huang Siyuan Guo Hechang Chen Li Shen Lichao Sun Yi-Ju Chang Dacheng Tao DiffM OffRL 43 13 0 08 Jun 2023
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 38 3 0 07 Jun 2023
Extracting Reward Functions from Diffusion Models Felipe Nuti Tim Franzmeyer João F. Henriques 21 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 59 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 38 90 0 29 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 44 318 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 28 40 0 22 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 31 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 22 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 27 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 34 130 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 76 0 07 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 48 157 0 05 Apr 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 39 20 0 03 Apr 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Brehmer Joey Bose P. D. Haan Taco S. Cohen DiffM 30 32 0 22 Mar 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 94 67 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 97 1,052 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 98 156 0 07 Mar 2023
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation Utkarsh Aashu Mishra Yongxin Chen 29 20 0 28 Feb 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang Yao Mu Mingyu Ding Fei Ni Masayoshi Tomizuka Ping Luo 80 101 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 24 233 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 46 207 0 25 Jan 2023
Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh S. Kasiviswanathan B. Kveton Patrick Blobaum DiffM 27 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 37 55 0 08 Jan 2023
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 65 134 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 26 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 32 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 58 121 0 08 Sep 2022
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang Jonathan J. Hunt Mingyuan Zhou OffRL 30 339 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 170 27 0 31 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 632 0 20 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020