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Learning Invariant Representations for Reinforcement Learning without Reconstruction

18 June 2020

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

50 / 329 papers shown

Title
Adversarial Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue AAML 58 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 110 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 123 32 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 236 312 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 68 21 0 24 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 262 51 0 03 Apr 2023
Model-Based Reinforcement Learning with Isolated Imaginations Minting Pan Geng Chen Yitao Zheng Yunbo Wang Xiaokang Yang 150 0 0 27 Mar 2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning Tao Ma Hengrui Cai Zhengling Qi C. Shi Eric B. Laber 118 4 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 87 4 0 22 Mar 2023
Continual Visual Reinforcement Learning with A Life-Long World Model Wendong Zhang Wendong Zhang Geng Chen Siyu Gao Yunbo Wang Xiaokang Yang Xiaokang Yang CLL 129 3 0 12 Mar 2023
PDSketch: Integrated Planning Domain Programming and Learning Jiayuan Mao Tomás Lozano-Pérez J. Tenenbaum L. Kaelbling 138 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 97 9 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 248 186 0 07 Mar 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning Yuanying Cai Wei Shen Wei Shen Xuyun Zhang Wenjie Ruan Longbo Huang OffRL 111 5 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 166 173 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 96 6 0 19 Feb 2023
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL Sébastien M. R. Arnold Fei Sha SSL 65 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 625 17 0 12 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL P. Becker Sebastian Mossburger Fabian Otto Gerhard Neumann SSL 115 4 0 10 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zijian Li CML 194 35 0 10 Feb 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 164 14 0 03 Feb 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 136 12 0 26 Jan 2023
DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning Aswin Nahrendra Byeong-Uk Yu Hyunsam Myung 171 114 0 25 Jan 2023
Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part I Yi Tian Jianchao Tan Russ Tedrake S. Sra 89 5 0 30 Dec 2022
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen Sinno Jialin Pan SSL 67 6 0 26 Dec 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan Zhengrong Xue Bo Yuan Xueqian Wang Yi Wu Yang Gao Huazhe Xu SSL OffRL 134 83 0 17 Dec 2022
Latent Variable Representation for Reinforcement Learning Zhaolin Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 120 10 0 17 Dec 2022
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction Brahma S. Pavse Josiah P. Hanna OffRL 100 8 0 14 Dec 2022
Policy Adaptation from Foundation Model Feedback Yuying Ge Annabella Macaluso Erran L. Li Ping Luo Xiaolong Wang LM&Ro 90 14 0 14 Dec 2022
Model-based trajectory stitching for improved behavioural cloning and its applications Charles A. Hepburn Giovanni Montana OffRL 99 8 0 08 Dec 2022
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning Christopher P. Reale Rebecca L. Russell 101 1 0 29 Nov 2022
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings Tongzhou Wang Phillip Isola 147 10 0 28 Nov 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning Tingting Zhao Ying Wang Weidong Sun Yarui Chen Gang Niu Masashi Sugiyama 89 2 0 23 Nov 2022
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning Charles A. Hepburn Giovanni Montana OffRL 102 14 0 21 Nov 2022
Joint Embedding Predictive Architectures Focus on Slow Features Vlad Sobal V. JyothirS Siddhartha Jalagam Nicolas Carion Kyunghyun Cho Yann LeCun 76 12 0 20 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 128 5 0 18 Nov 2022
Build generally reusable agent-environment interaction models Jun Jin Hongming Zhang Jun Luo 67 0 0 13 Nov 2022
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning Katherine Metcalf Miguel Sarabia B. Theobald OffRL 99 5 0 12 Nov 2022
Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions Meghan Booker Anirudha Majumdar 41 2 0 10 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 114 27 0 08 Nov 2022
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 87 0 0 07 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 159 11 0 02 Nov 2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam Manan Tomar Alex Lamb Yonathan Efroni Hongyu Zang ... Dipendra Kumar Misra Xin-hui Li H. V. Seijen Rémi Tachet des Combes John Langford OffRL 96 8 0 31 Oct 2022
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks Edwin Zhang Yujie Lu William Wang Amy Zhang DiffM LM&Ro 131 21 0 27 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 174 19 0 27 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 181 47 0 23 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 89 9 0 21 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 140 7 0 19 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 136 27 0 18 Oct 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon JunYeong Lee Hyun Oh Song OOD OffRL 94 16 0 18 Oct 2022