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
Learning Latent Dynamic Robust Representations for World Models Ruixiang Sun Hongyu Zang Xin-hui Li Riashat Islam 39 5 0 10 May 2024
Learning Planning Abstractions from Language Weiyu Liu Geng Chen Joy Hsu Jiayuan Mao Jiajun Wu PINN 46 2 0 06 May 2024
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs Lili Wu Ben Evans Riashat Islam Raihan Seraj Yonathan Efroni Alex Lamb 52 1 0 22 Apr 2024
Automated Discovery of Functional Actual Causes in Complex Environments Caleb Chuck Sankaran Vaidyanathan Stephen Giguere Amy Zhang David Jensen S. Niekum CML 44 2 0 16 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
SUGAR: Pre-training 3D Visual Representations for Robotics Shizhe Chen Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid 56 14 0 01 Apr 2024
Learning Action-based Representations Using Invariance Max Rudolph Caleb Chuck Kevin Black Misha Lvovsky S. Niekum Amy Zhang 52 0 0 25 Mar 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning Dipendra Kumar Misra Akanksha Saran Tengyang Xie Alex Lamb John Langford SSL OffRL 40 5 0 20 Mar 2024
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds Yating Lin Glen Chou Dmitry Berenson OODD 41 0 0 18 Mar 2024
Multistep Inverse Is Not All You Need Alexander Levine Peter Stone Amy Zhang AI4CE 43 4 0 18 Mar 2024
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors Yucen Wang Shenghua Wan Le Gan Shuai Feng De-Chuan Zhan VGen 27 4 0 15 Mar 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery Yang Chen Yitao Liang Zhouchen Lin OOD CML 36 0 0 29 Feb 2024
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li Jinliang Zheng Yinan Zheng Liyuan Mao Xiaoming Hu ... Jihao Liu Yu Liu Jingjing Liu Ya Zhang Xianyuan Zhan LM&Ro OffRL 37 9 0 28 Feb 2024
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards Katherine Metcalf Miguel Sarabia Natalie Mackraz B. Theobald 42 6 0 28 Feb 2024
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control Ruijie Zheng Ching-An Cheng Hal Daumé Furong Huang Andrey Kolobov 38 9 0 16 Feb 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng Yongyuan Liang Xiyao Wang Shuang Ma Hal Daumé Huazhe Xu John Langford Praveen Palanisamy Kalyan Shankar Basu Furong Huang 45 5 0 09 Feb 2024
Do Transformer World Models Give Better Policy Gradients? Michel Ma Tianwei Ni Clement Gehring P. DÓro Pierre-Luc Bacon 42 4 0 07 Feb 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 36 15 0 06 Feb 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning Zizhao Wang Caroline Wang Xuesu Xiao Yuke Zhu Peter Stone OffRL 36 4 0 23 Jan 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 35 14 0 20 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 24 21 0 17 Jan 2024
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning Bram Grooten Tristan Tomilin Gautham Vasan Matthew E. Taylor A. R. Mahmood Meng Fang Mykola Pechenizkiy Decebal Constantin Mocanu 32 8 0 23 Dec 2023
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin Sihao Wu Jiaxu Liu Meng Fang Xingyu Zhao Xiaowei Huang Wenjie Ruan AAML 50 5 0 12 Dec 2023
The Generalization Gap in Offline Reinforcement Learning Ishita Mediratta Qingfei You Minqi Jiang Roberta Raileanu OffRL 92 10 0 10 Dec 2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 41 1 0 09 Dec 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 4 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 29 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 48 10 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 28 11 0 31 Oct 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity Joey Hong Anca Dragan Sergey Levine OffRL 29 5 0 31 Oct 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation Brahma S. Pavse Josiah P. Hanna OffRL 38 4 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 49 5 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 30 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 32 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 30 6 0 24 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 27 12 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 Qi Zhang Xuanjing Huang 56 14 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 26 9 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 35 7 0 10 Oct 2023
Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar Souradeep Dutta Dinesh Jayaraman James Weimer Insup Lee 44 8 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 26 5 0 08 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 43 4 0 05 Oct 2023
Sequential Action-Induced Invariant Representation for Reinforcement Learning Dayang Liang Qihang Chen Yunlong Liu 36 4 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 32 1 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 25 2 0 14 Sep 2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models Alonso Marco Elias Morley Claire Tomlin 38 2 0 13 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 46 13 0 31 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 34 18 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 24 19 0 15 Jul 2023