Invariant Causal Prediction for Block MDPs

12 March 2020

Papers citing "Invariant Causal Prediction for Block MDPs"

26 / 26 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Zhen Zhang OffRL CML 29 0 0 13 May 2025
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 51 2 0 23 Oct 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations Ivan Ovinnikov Eugene Bykovets J. M. Buhmann CML 33 0 0 12 Sep 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 52 0 0 15 Jul 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 59 122 0 17 Jan 2024
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 43 13 0 31 Aug 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 36 0 0 14 Jun 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
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 38 8 0 09 Mar 2023
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 35 26 0 10 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 44 0 14 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 29 24 0 26 Jun 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 31 20 0 20 May 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization Yanchao Sun Ruijie Zheng Xiyao Wang Andrew Cohen Furong Huang OOD OffRL 12 21 0 01 Jan 2022
Invariance Through Latent Alignment Takuma Yoneda Ge Yang Matthew R. Walter Bradly C. Stadie OOD 21 9 0 15 Dec 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 20 13 0 27 Oct 2021
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 82 17 0 24 Sep 2021
Reimagining an autonomous vehicle Jeffrey Hawke E. Haibo Vijay Badrinarayanan Alex Kendall 31 11 0 12 Aug 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning Manan Tomar Amy Zhang Roberto Calandra Matthew E. Taylor Joelle Pineau 19 24 0 19 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 23 14 0 18 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 181 0 11 Feb 2021
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 40 461 0 18 Jun 2020