Efficient Planning with Latent Diffusion

30 September 2023

Papers citing "Efficient Planning with Latent Diffusion"

50 / 64 papers shown

Title
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning S. E. Ada Erhan Öztop Emre Ugur OffRL 102 21 0 10 Jul 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 87 46 0 31 May 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 90 20 0 03 Apr 2023
Planning with Sequence Models through Iterative Energy Minimization Hongyi Chen Yilun Du Yiye Chen J. Tenenbaum Patricio A. Vela 52 6 0 28 Mar 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang Yao Mu Mingyu Ding Fei Ni Masayoshi Tomizuka Ping Luo 112 106 0 03 Feb 2023
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery Yiqin Yang Haotian Hu Wenzhe Li Siyuan Li Jun Yang Qianchuan Zhao Chongjie Zhang OffRL 58 10 0 02 Dec 2022
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 127 394 0 28 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 153 596 0 02 Nov 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 231 67 0 30 Sep 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 844 0 29 Sep 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 157 116 0 29 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 106 83 0 19 Sep 2022
MO2: Model-Based Offline Options Sasha Salter Markus Wulfmeier Dhruva Tirumala N. Heess Martin Riedmiller R. Hadsell Dushyant Rao OffRL 66 13 0 05 Sep 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 78 39 0 22 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 99 194 0 14 Jul 2022
Offline RL Policies Should be Trained to be Adaptive Dibya Ghosh Anurag Ajay Pulkit Agrawal Sergey Levine OffRL 74 46 0 05 Jul 2022
Diffusion models as plug-and-play priors Alexandros Graikos Nikolay Malkin Nebojsa Jojic Dimitris Samaras DiffM 81 222 0 17 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$ -Advantage Regression Yecheng Jason Ma Jason Yan Dinesh Jayaraman Osbert Bastani OffRL 70 57 0 07 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 208 1,427 0 02 Jun 2022
Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL Wonjoon Goo S. Niekum OffRL 82 20 0 01 Jun 2022
Online Decision Transformer Qinqing Zheng Amy Zhang Aditya Grover OffRL 67 209 0 11 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 272 836 0 27 Jan 2022
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 70 28 0 09 Dec 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk Matthieu Geist Olivier Pietquin OffRL 71 23 0 19 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 286 910 0 12 Oct 2021
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 117 112 0 07 Oct 2021
Learning Latent Actions to Control Assistive Robots Dylan P. Losey Hong Jun Jeon Mengxi Li K. Srinivasan Ajay Mandlekar Animesh Garg Jeannette Bohg Dorsa Sadigh 47 62 0 06 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 127 822 0 12 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 65 682 0 10 Jun 2021
Vector Quantized Models for Planning Sherjil Ozair Yazhe Li Ali Razavi Ioannis Antonoglou Aaron van den Oord Oriol Vinyals OffRL 70 51 0 08 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 142 680 0 03 Jun 2021
Learning Visually Guided Latent Actions for Assistive Teleoperation Siddharth Karamcheti Albert J. Zhai Dylan P. Losey Dorsa Sadigh 78 22 0 02 May 2021
Nearly Horizon-Free Offline Reinforcement Learning Zhaolin Ren Jialian Li Bo Dai S. Du Sujay Sanghavi OffRL 69 49 0 25 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 337 3,686 0 18 Feb 2021
Reset-Free Lifelong Learning with Skill-Space Planning Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch CLL OffRL 81 38 0 07 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 338 6,480 0 26 Nov 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 85 159 0 26 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 105 856 0 05 Oct 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 72 127 0 01 Jul 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 150 327 0 26 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 104 611 0 16 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 137 1,815 0 08 Jun 2020
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning Jianfeng Liu Feiyang Pan Ling Luo OffRL 44 23 0 24 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 93 672 0 12 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 221 1,368 0 15 Apr 2020
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions J. Schmidhuber 62 131 0 05 Dec 2019
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 89 687 0 26 Nov 2019
Mish: A Self Regularized Non-Monotonic Activation Function Diganta Misra 63 680 0 23 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019