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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
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi Aravind Rajeswaran Senthil Purushwalkam Abhinav Gupta LM&Ro 170 208 0 07 Mar 2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images Bang You Oleg Arenz Youping Chen Jan Peters 106 22 0 02 Mar 2022
Weakly Supervised Correspondence Learning Zihan Wang Zhangjie Cao Yilun Hao Dorsa Sadigh SSL 113 10 0 02 Mar 2022
Weakly Supervised Disentangled Representation for Goal-conditioned Reinforcement Learning Zhifeng Qian Mingyu You Hongjun Zhou Bin He DRL OffRL 90 7 0 28 Feb 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Zhecheng Yuan Guozheng Ma Yao Mu Bo Xia Bo Yuan Xueqian Wang Ping Luo Huazhe Xu 153 31 0 21 Feb 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning Che Wang Xufang Luo George Andriopoulos Dongsheng Li OffRL 171 55 0 17 Feb 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation Yuqing Du Daniel Ho Alexander A. Alemi Eric Jang Mohi Khansari SSL 83 13 0 15 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 157 37 0 09 Feb 2022
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 123 9 0 06 Feb 2022
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation Martín Bertrán Walter A. Talbott Nitish Srivastava J. Susskind 113 3 0 28 Jan 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 147 50 0 28 Jan 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization Yanchao Sun Ruijie Zheng Xiyao Wang Andrew Cohen Furong Huang OOD OffRL 145 21 0 01 Jan 2022
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning Hongyu Zang Xin Li Mingzhong Wang 82 18 0 31 Dec 2021
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning Wilka Carvalho Andrew Kyle Lampinen Kyriacos Nikiforou Felix Hill Murray Shanahan OffRL 118 0 0 15 Dec 2021
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models Nitish Srivastava Walter A. Talbott Martin Bertran Lopez Shuangfei Zhai J. Susskind 101 4 0 02 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 108 24 0 29 Nov 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 124 8 0 24 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 203 193 0 18 Nov 2021
Learning Provably Robust Motion Planners Using Funnel Libraries Alim Gurgen Anirudha Majumdar Sushant Veer OOD 77 3 0 16 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 127 29 0 15 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 110 44 0 04 Nov 2021
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher Samarth Sinha Animesh Garg Yoshinobu Kawahara OffRL 112 26 0 02 Nov 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 120 46 0 27 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 98 65 0 27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 162 14 0 27 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 102 50 0 27 Oct 2021
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning Shitao Xiao V. Subramanian 89 9 0 25 Oct 2021
Provable RL with Exogenous Distractors via Multistep Inverse Dynamics Yonathan Efroni Dipendra Kumar Misra A. Krishnamurthy Alekh Agarwal John Langford OffRL 138 23 0 17 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 140 28 0 13 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 117 8 0 12 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Kun Zhang 113 37 0 12 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 88 8 0 11 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 145 129 0 05 Oct 2021
Domain Generalization for Vision-based Driving Trajectory Generation Yunkai Wang Dongkun Zhang Yuxiang Cui Zexi Chen Wei Jing Junbo Chen R. Xiong Yue Wang 91 4 0 22 Sep 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning Constantinos Chamzas M. Lippi Michael C. Welle Anastasia Varava Lydia E. Kavraki Danica Kragic SSL DRL OffRL 106 4 0 14 Sep 2021
An Approach to Partial Observability in Games: Learning to Both Act and Observe Elizabeth Gilmour Noah Plotkin L. Smith 67 1 0 11 Aug 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 413 124 0 13 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 146 17 0 12 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 106 6 0 07 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 155 71 0 06 Jul 2021
Semi-supervised Learning for Dense Object Detection in Retail Scenes Jaydeep Chauhan Srikrishna Varadarajan Muktabh Mayank Srivastava 93 2 0 05 Jul 2021
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces N. Botteghi K. Alaa M. Poel B. Sirmaçek C. Brune A. Mersha Stefano Stramigioli SSL 66 11 0 04 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 175 143 0 01 Jul 2021
Classical Planning in Deep Latent Space Masataro Asai Hiroshi Kajino A. Fukunaga Christian Muise VLM 130 22 0 30 Jun 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 152 69 0 29 Jun 2021
Proper Value Equivalence Christopher Grimm André Barreto Gregory Farquhar David Silver Satinder Singh OffRL 102 35 0 18 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 159 66 0 17 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 133 59 0 14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 165 41 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 145 52 0 08 Jun 2021