Learning Invariant Representations for Reinforcement Learning without Reconstruction

18 June 2020

Papers citing "Learning Invariant Representations for Reinforcement Learning without Reconstruction"

50 / 240 papers shown

Title
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning Xiang Li Varun Belagali Jinghuan Shang Michael S. Ryoo 43 28 0 04 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng Xiyao Wang Yanchao Sun Shuang Ma Jieyu Zhao Huazhe Xu Hal Daumé Furong Huang 43 36 0 22 Jun 2023
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models Shenghua Wan Yucen Wang Minghao Shao Ruying Chen De-Chuan Zhan 61 7 0 19 Jun 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation Tong Zhang Yingdong Hu Hanchen Cui Hang Zhao Yang Gao 84 18 0 18 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 42 0 0 14 Jun 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Erdun Gao Zhengmao Zhu Hong Tian Biwei Huang Yang Yu Kun Zhang CML OffRL 42 12 0 11 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 34 20 0 08 Jun 2023
Generalization Across Observation Shifts in Reinforcement Learning Anuj Mahajan Amy Zhang OOD OffRL 19 0 0 07 Jun 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL Peng Cheng Xianyuan Zhan Zhihao Wu Wenjia Zhang Shoucheng Song Han Wang Youfang Lin Li Jiang OffRL 42 10 0 07 Jun 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng Benjamin Eysenbach Homer Walke Patrick Yin Kuan Fang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 4 0 06 Jun 2023
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 28 0 0 05 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup David Meger OffRL 28 45 0 04 Jun 2023
Normalization Enhances Generalization in Visual Reinforcement Learning Lu Li Jiafei Lyu Guozheng Ma Zilin Wang Zhen Yang Xiu Li Zhiheng Li OOD 27 8 0 01 Jun 2023
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments Daniel Coelho Miguel Oliveira Vítor M. F. Santos 25 3 0 29 May 2023
Provable Reward-Agnostic Preference-Based Reinforcement Learning Wenhao Zhan Masatoshi Uehara Wen Sun Jason D. Lee 27 8 0 29 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 36 25 0 29 May 2023
Reinforcement Learning with Simple Sequence Priors Tankred Saanum N. Éltető Peter Dayan Marcel Binz Eric Schulz OffRL 31 7 0 26 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 26 21 0 26 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 47 10 0 25 May 2023
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Q. Wang Jun Yang Yunbo Wang Xin Jin Wenjun Zeng Xiaokang Yang OffRL OnRL 39 3 0 24 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 22 17 0 23 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 33 2 0 09 May 2023
Explainable Reinforcement Learning via a Causal World Model Zhongwei Yu Jingqing Ruan Dengpeng Xing CML 35 15 0 04 May 2023
Adversarial Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue AAML 27 0 0 27 Apr 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing Philipp Altmann Fabian Ritz Leonard Feuchtinger Jonas Nusslein Claudia Linnhoff-Popien Thomy Phan OOD OffRL 27 5 0 26 Apr 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother Joshua Greaves Rishabh Agarwal Charline Le Lan Ross Goroshin Pablo Samuel Castro Marc G. Bellemare 51 25 0 25 Apr 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 50 275 0 24 Apr 2023
Hierarchical State Abstraction Based on Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li Chunyang Liu Lifang He Philip S. Yu 31 18 0 24 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 34 34 0 03 Apr 2023
Model-Based Reinforcement Learning with Isolated Imaginations Minting Pan Xiangming Zhu Yitao Zheng Yunbo Wang Xiaokang Yang 34 0 0 27 Mar 2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning Tao Ma Hengrui Cai Zhengling Qi C. Shi Eric B. Laber 29 3 0 24 Mar 2023
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees Florent Delgrange Ann Nowé Guillermo A. Pérez OffRL 31 4 0 22 Mar 2023
Predictive Experience Replay for Continual Visual Control and Forecasting Wendong Zhang Geng Chen Xiangming Zhu Siyu Gao Yunbo Wang Xiaokang Yang CLL 55 3 0 12 Mar 2023
PDSketch: Integrated Planning Domain Programming and Learning Jiayuan Mao Tomás Lozano-Pérez J. Tenenbaum L. Kaelbling 34 3 0 09 Mar 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng Xingui Hu Rui Zhang Jiaming Guo Qi Yi Rui Chen Zidong Du Ling Li Qi Guo Yunji Chen OffRL 41 8 0 09 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
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning Yuanying Cai Chuheng Zhang Wei Shen Xuyun Zhang Wenjie Ruan Longbo Huang OffRL 32 4 0 03 Mar 2023
Language-Driven Representation Learning for Robotics Siddharth Karamcheti Suraj Nair Annie S. Chen Thomas Kollar Chelsea Finn Dorsa Sadigh Percy Liang LM&Ro SSL 47 145 0 24 Feb 2023
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution Jie Wang Rui Yang Zijie Geng Zhihao Shi Mingxuan Ye Qi Zhou Shuiwang Ji Bin Li Yongdong Zhang Feng Wu 39 4 0 19 Feb 2023
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL Sébastien M. R. Arnold Fei Sha SSL 21 0 0 12 Feb 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu Qi Zhou Rui Yang Jie Wang OffRL OOD 25 14 0 12 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL P. Becker Sebastian Mossburger Fabian Otto Gerhard Neumann SSL 37 2 0 10 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zhifeng Hao CML 31 27 0 10 Feb 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 50 10 0 03 Feb 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 29 8 0 26 Jan 2023
DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning Aswin Nahrendra Byeong-Uk Yu Hyunsam Myung 32 84 0 25 Jan 2023
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? Yi Tian Kaipeng Zhang Russ Tedrake S. Sra 47 4 0 30 Dec 2022
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen Sinno Jialin Pan SSL 26 6 0 26 Dec 2022