Action-Sufficient State Representation Learning for Control with Structural Constraints

12 October 2021

Erdun Gao

Chaochao Lu

Liu Leqi

José Miguel Hernández-Lobato

Papers citing "Action-Sufficient State Representation Learning for Control with Structural Constraints"

23 / 23 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
Q-function Decomposition with Intervention Semantics with Factored Action Spaces Junkyu Lee Tian Gao Elliot Nelson Miao Liu D. Bhattacharjya Songtao Lu OffRL 45 0 0 30 Apr 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL Hongye Cao Fan Feng Meng Fang Shaokang Dong Tianpei Yang Jing Huo Yang Gao 61 1 0 14 Feb 2025
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation Siyu Wang Xiaocong Chen Lina Yao CML OffRL 90 0 0 04 Feb 2025
Rethinking State Disentanglement in Causal Reinforcement Learning Haiyao Cao Zhen Zhang Panpan Cai Yuhang Liu Jinan Zou Ehsan Abbasnejad Biwei Huang Biwei Huang Anton van den Hengel Javen Qinfeng Shi CML 37 0 0 24 Aug 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge Yupei Yang Erdun Gao Shikui Tu Lei Xu CML 37 1 0 30 Jul 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Erdun Gao Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 38 1 0 30 Jul 2024
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems Siyu Wang Xiaocong Chen Lina Yao CML 29 0 0 18 Jul 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 54 0 0 15 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 37 1 0 30 Jun 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning Inwoo Hwang Yunhyeok Kwak Suhyung Choi Byoung-Tak Zhang Sanghack Lee 40 1 0 05 Jun 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
Why Online Reinforcement Learning is Causal Oliver Schulte Pascal Poupart CML OffRL 40 1 0 07 Mar 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 48 11 0 22 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
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment Ziyan Wang Yali Du Yudi Zhang Meng Fang Biwei Huang OffRL 31 1 0 06 Dec 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Erdun Gao Zhengmao Zhu Hong Tian Biwei Huang Yang Yu Kun Zhang CML OffRL 42 12 0 11 Jun 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach Yudi Zhang Yali Du Erdun Gao Ziyan Wang Jun Wang Meng Fang Mykola Pechenizkiy CML 20 17 0 28 May 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zhifeng Hao CML 26 27 0 10 Feb 2023
MoCoDA: Model-based Counterfactual Data Augmentation Silviu Pitis Elliot Creager Ajay Mandlekar Animesh Garg OffRL 48 33 0 20 Oct 2022
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 34 24 0 02 Mar 2020
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 43 64 0 09 Feb 2020