Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2110.05721
Cited By
v1
v2 (latest)
Action-Sufficient State Representation Learning for Control with Structural Constraints
International Conference on Machine Learning (ICML), 2021
12 October 2021
Erdun Gao
Chaochao Lu
Liu Leqi
José Miguel Hernández-Lobato
Clark Glymour
Bernhard Schölkopf
Kun Zhang
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Action-Sufficient State Representation Learning for Control with Structural Constraints"
25 / 25 papers shown
Learning Causal States Under Partial Observability and Perturbation
Na Li
Hangguan Shan
Wei Ni
Wenjie Zhang
Xinyu Li
Yamin Wang
164
0
0
29 Nov 2025
What You Don't Know Can Hurt You: How Well do Latent Safety Filters Understand Partially Observable Safety Constraints?
Matthew Kim
Kensuke Nakamura
Andrea V. Bajcsy
158
0
0
07 Oct 2025
Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization
Yuliang Gu
H. Cao
Marco Caccamo
N. Hovakimyan
OffRL
BDL
258
0
0
25 Jul 2025
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
International Conference on Learning Representations (ICLR), 2025
Xinyue Wang
Zhen Zhang
OffRL
CML
300
0
0
13 May 2025
Q-function Decomposition with Intervention Semantics with Factored Action Spaces
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Junkyu Lee
Tian Gao
Elliot Nelson
Miao Liu
D. Bhattacharjya
Songtao Lu
OffRL
271
0
0
30 Apr 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
Hongye Cao
Fan Feng
Meng Fang
Shaokang Dong
Zhenxing Ge
Jing Huo
Yang Gao
374
3
0
14 Feb 2025
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
The Web Conference (WWW), 2025
Siyu Wang
Xiaocong Chen
Lina Yao
CML
OffRL
332
4
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
176
0
0
24 Aug 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
Yupei Yang
Erdun Gao
Shikui Tu
Lei Xu
CML
289
2
0
30 Jul 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
International Conference on Learning Representations (ICLR), 2024
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
717
3
0
30 Jul 2024
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
Siyu Wang
Xiaocong Chen
Lina Yao
CML
218
2
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
Yue Liu
Ding Zhao
OffRL
CML
576
3
0
15 Jul 2024
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
295
4
0
30 Jun 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang
Yunhyeok Kwak
Jaein Kim
Byoung-Tak Zhang
Sanghack Lee
361
7
0
05 Jun 2024
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning
Zhihao Liu
Xianliang Yang
Zichuan Liu
Yifan Xia
Wei Jiang
Yuanyu Zhang
Lijuan Li
Guoliang Fan
Lei Song
Bian Jiang
LLMAG
289
8
0
27 May 2024
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
International Conference on Machine Learning (ICML), 2024
Yucen Wang
Shenghua Wan
Le Gan
Shuai Feng
De-Chuan Zhan
VGen
322
9
0
15 Mar 2024
Why Online Reinforcement Learning is Causal
Oliver Schulte
Pascal Poupart
CML
OffRL
348
2
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
371
19
0
22 Feb 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Zizhao Wang
Caroline Wang
Xuesu Xiao
Yuke Zhu
Peter Stone
OffRL
181
9
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
389
8
0
06 Dec 2023
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
377
36
0
04 Jul 2023
Learning World Models with Identifiable Factorization
Neural Information Processing Systems (NeurIPS), 2023
Yu-Ren Liu
Erdun Gao
Zhengmao Zhu
Hong Tian
Biwei Huang
Yang Yu
Kun Zhang
CML
OffRL
369
22
0
11 Jun 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
Neural Information Processing Systems (NeurIPS), 2023
Yudi Zhang
Yali Du
Erdun Gao
Ziyan Wang
Jun Wang
Meng Fang
Mykola Pechenizkiy
CML
308
29
0
28 May 2023
A Survey on Causal Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zijian Li
CML
513
66
0
10 Feb 2023
MoCoDA: Model-based Counterfactual Data Augmentation
Neural Information Processing Systems (NeurIPS), 2022
Silviu Pitis
Elliot Creager
Ajay Mandlekar
Animesh Garg
OffRL
216
52
0
20 Oct 2022
1
Page 1 of 1
