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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 / 331 papers shown

Title
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Zhaolin Ren Chenjun Xiao Dale Schuurmans Bo Dai 136 5 0 20 Nov 2023
Provably Efficient CVaR RL in Low-rank MDPs Yulai Zhao Wenhao Zhan Xiaoyan Hu Ho-fung Leung Farzan Farnia Wen Sun Jason D. Lee 123 4 0 20 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 151 11 0 03 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Hao-ming Lin Wenhao Ding Zuxin Liu Yaru Niu Jiacheng Zhu Yuming Niu Ding Zhao OffRL 144 13 0 31 Oct 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity Joey Hong Anca Dragan Sergey Levine OffRL 78 6 0 31 Oct 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation Brahma S. Pavse Josiah P. Hanna OffRL 99 3 0 27 Oct 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning Hongyu Zang Xin-hui Li Leiji Zhang Yang Liu Baigui Sun Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL 119 6 0 26 Oct 2023
Towards Control-Centric Representations in Reinforcement Learning from Images Chen Liu Hongyu Zang Xin Li Yong Heng Yifei Wang Zhen Fang Yisen Wang Mingzhong Wang 92 0 0 25 Oct 2023
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation Chengpeng Li Zhengyi Yang Jizhi Zhang Jiancan Wu Dingxian Wang Xiangnan He Xiang Wang OffRL 111 1 0 25 Oct 2023
State Sequences Prediction via Fourier Transform for Representation Learning Mingxuan Ye Yufei Kuang Jie Wang Rui Yang Wen-gang Zhou Houqiang Li Feng Wu AI4TS 118 9 0 24 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 100 18 0 19 Oct 2023
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning Rui Zheng Wei Shen Yuan Hua Wenbin Lai Shihan Dou ... Xiao Wang Haoran Huang Tao Gui Tao Gui Xuanjing Huang 157 17 0 18 Oct 2023
What Matters to You? Towards Visual Representation Alignment for Robot Learning Ran Tian Chenfeng Xu Masayoshi Tomizuka Jitendra Malik Andrea V. Bajcsy 101 13 0 11 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 128 2 0 11 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei Nathan Lambert Anthony D. McDonald Alfredo Garcia Roberto Calandra 123 7 0 10 Oct 2023
Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar Souradeep Dutta Dinesh Jayaraman James Weimer Insup Lee 145 11 0 09 Oct 2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation Sili Huang Yanchao Sun Jifeng Hu Siyuan Guo Hechang Chen Yi-Ju Chang Lichao Sun Bo Yang 99 8 0 08 Oct 2023
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems Zhenghai Xue Qingpeng Cai Tianyou Zuo Bin Yang Lantao Hu Peng Jiang Kun Gai 107 3 0 06 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 107 5 0 05 Oct 2023
Sequential Action-Induced Invariant Representation for Reinforcement Learning Dayang Liang Qihang Chen Yunlong Liu 111 5 0 22 Sep 2023
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control Abdullah Altawaitan Jason Stanley Sambaran Ghosal T. Duong Nikolay Atanasov 145 2 0 17 Sep 2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning Cristina Pinneri Sarah Bechtle Markus Wulfmeier Arunkumar Byravan Jingwei Zhang William F. Whitney Martin Riedmiller OffRL 72 2 0 14 Sep 2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models Alonso Marco Elias Morley Claire Tomlin 137 4 0 13 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 144 14 0 31 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 83 4 0 29 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 135 27 0 15 Jul 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan Sizhe Yang Pu Hua C. Chang Kaizhe Hu Huazhe Xu OOD OffRL 161 26 0 15 Jul 2023
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning Xiang Li Varun Belagali Jinghuan Shang Michael S. Ryoo 169 36 0 04 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 166 24 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 148 48 0 22 Jun 2023
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models Shenghua Wan Yucen Wang Minghao Shao Ruying Chen De-Chuan Zhan 119 10 0 19 Jun 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation Tong Zhang Yingdong Hu Hanchen Cui Hang Zhao Yang Gao 172 21 0 18 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 106 15 0 15 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 151 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 111 15 0 11 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 102 30 0 08 Jun 2023
Generalization Across Observation Shifts in Reinforcement Learning Anuj Mahajan Amy Zhang OOD OffRL 73 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 267 11 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 OffRL SSL 174 7 0 06 Jun 2023
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 81 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 173 63 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 106 11 0 01 Jun 2023
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments Daniel Coelho Miguel Oliveira Vítor M. F. Santos 70 6 0 29 May 2023
Provable Reward-Agnostic Preference-Based Reinforcement Learning Wenhao Zhan Masatoshi Uehara Wen Sun Jason D. Lee 130 12 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 132 38 0 29 May 2023
Reinforcement Learning with Simple Sequence Priors Tankred Saanum N. Éltető Peter Dayan Marcel Binz Eric Schulz OffRL 71 10 0 26 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 145 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 132 18 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 151 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 103 25 0 23 May 2023