Cross-Domain Policy Adaptation by Capturing Representation Mismatch

24 May 2024

Papers citing "Cross-Domain Policy Adaptation by Capturing Representation Mismatch"

41 / 41 papers shown

Title
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning Kyungsoo Kim Jeongsoo Ha Yusung Kim BDL 18 7 0 05 Jun 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey Kun Zhang Peng Yun Jun Cen Junhao Cai DiDi Zhu ... Qifeng Chen Jia Pan Wei Zhang Bo Yang Hua Chen 130 1 0 05 Mar 2025
Understanding Self-Predictive Learning for Reinforcement Learning Yunhao Tang Z. Guo Pierre Harvey Richemond Bernardo Avila-Pires Yash Chandak ... S. Thakoor Will Dabney Bilal Piot Daniele Calandriello Michal Valko SSL 82 29 0 06 Dec 2022
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning Zheng Wu Yichen Xie Wenzhao Lian Changhao Wang Yanjiang Guo Jianyu Chen S. Schaal Masayoshi Tomizuka OffRL 77 10 0 01 Oct 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden David Meger Doina Precup 47 20 0 15 Sep 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 70 37 0 03 Jul 2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu Shubham Sharma Yiwen Qiu Ming Li Guyue Zhou Jianming Hu Xianyuan Zhan OffRL OnRL 84 50 0 27 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 77 159 0 15 Jun 2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning Jiafei Lyu Xiaoteng Ma Xiu Li Zongqing Lu OffRL 61 109 0 09 Jun 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 79 243 0 09 Mar 2022
Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 58 19 0 14 Feb 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer Xingyu Liu Deepak Pathak Kris Kitani 58 20 0 10 Feb 2022
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 97 235 0 30 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 283 903 0 12 Oct 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 79 347 0 20 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 116 818 0 12 Jun 2021
Cross-domain Imitation from Observations Dripta S. Raychaudhuri S. Paul J. Baar Amit K. Roy-Chowdhury OOD 52 43 0 20 May 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Wei Shen Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 75 48 0 22 Feb 2021
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 64 127 0 21 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Qiang Zhang Tete Xiao Alexei A. Efros Lerrel Pinto Xiaolong Wang 73 65 0 17 Dec 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 351 345 0 14 Sep 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 58 161 0 08 Jul 2020
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch Luca Viano Yu-ting Huang Parameswaran Kamalaruban Adrian Weller Volkan Cevher 66 28 0 02 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 65 162 0 30 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 60 94 0 24 Jun 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 92 790 0 28 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 210 1,364 0 15 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 81 1,087 0 08 Apr 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? Keita Ota Tomoaki Oiki Devesh K. Jha T. Mariyama D. Nikovski OffRL 71 42 0 03 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 329 1,681 0 02 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 276 1,205 0 24 Dec 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 54 53 0 25 Aug 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 89 950 0 19 Jun 2019
Learning Action Representations for Reinforcement Learning Yash Chandak Georgios Theocharous James E. Kostas Scott M. Jordan Philip S. Thomas 56 163 0 01 Feb 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,422 0 13 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 214 1,607 0 07 Dec 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 108 548 0 30 Mar 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 99 1,363 0 18 Oct 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 238 2,964 0 20 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 73 307 0 08 Feb 2017
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 250 12,431 0 24 Jun 2012