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2003.06016
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Invariant Causal Prediction for Block MDPs
International Conference on Machine Learning (ICML), 2020
12 March 2020
Amy Zhang
Clare Lyle
Shagun Sodhani
Angelos Filos
Marta Z. Kwiatkowska
Joelle Pineau
Y. Gal
Doina Precup
OffRL
AI4CE
OOD
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Papers citing
"Invariant Causal Prediction for Block MDPs"
50 / 115 papers shown
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Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
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Yaodong Yang
Zhengbo Lu
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Wengang Zhou
Houqiang Li
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235
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13 Aug 2025
Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations
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Yuzhe Zhang
Giovanni Dúrso
Nicholas Lawrance
Brendan Tidd
OOD
CML
232
2
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30 Jul 2025
Breaking Habits: On the Role of the Advantage Function in Learning Causal State Representations
Miguel Suau
CML
238
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13 Jun 2025
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Yaroslav Kivva
S. Akbari
Saber Salehkaleybar
Negar Kiyavash
CML
322
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0
13 Jun 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
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313
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0
13 May 2025
Towards Causal Model-Based Policy Optimization
Alberto Caron
V. Mavroudis
Chris Hicks
307
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0
12 Mar 2025
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
515
6
0
04 Mar 2025
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
Machine-mediated learning (ML), 2025
Negin Hashemi Dijujin
Seyed Roozbeh Razavi Rohani
Mohammad Samiei
M. Baghshah
372
0
0
28 Jan 2025
Entity-based Reinforcement Learning for Autonomous Cyber Defence
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Alberto Caron
Chris Hicks
V. Mavroudis
AAML
684
9
0
23 Oct 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations
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Eugene Bykovets
J. M. Buhmann
CML
340
2
0
12 Sep 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
Boyu Chen
Junjie Liu
Zhu Li
Mengyue yang
384
1
0
29 Aug 2024
Rethinking State Disentanglement in Causal Reinforcement Learning
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Zhen Zhang
Panpan Cai
Yuhang Liu
Jinan Zou
Ehsan Abbasnejad
Biwei Huang
Biwei Huang
Anton van den Hengel
Javen Qinfeng Shi
CML
183
0
0
24 Aug 2024
Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning
Hayato Watahiki
Ryo Iwase
Ryosuke Unno
Yoshimasa Tsuruoka
334
1
0
24 Jul 2024
Learning Goal-Conditioned Representations for Language Reward Models
Vaskar Nath
Dylan Slack
Jeff Da
Yuntao Ma
Hugh Zhang
Spencer Whitehead
Sean Hendryx
209
1
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
588
3
0
15 Jul 2024
Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement
Jiafan Zhuang
Zihao Xia
Gaofei Han
Boxi Wang
Wenji Li
Dongliang Wang
Zhifeng Hao
Ruichu Cai
Zhun Fan
CML
278
0
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04 Jul 2024
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
306
4
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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
362
7
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05 Jun 2024
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
263
4
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21 May 2024
Learning Latent Dynamic Robust Representations for World Models
International Conference on Machine Learning (ICML), 2024
Ruixiang Sun
Hongyu Zang
Xin-hui Li
Riashat Islam
359
15
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10 May 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
324
37
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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
359
3
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16 Apr 2024
Learning Action-based Representations Using Invariance
Max Rudolph
Caleb Chuck
Kevin Black
Misha Lvovsky
S. Niekum
Amy Zhang
431
2
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25 Mar 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
Yang Chen
Yitao Liang
Zhouchen Lin
OOD
CML
259
0
0
29 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
333
28
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06 Feb 2024
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Angela Zhou
OffRL
301
3
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23 Jan 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
186
9
0
23 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
417
147
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17 Jan 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model
Computer Vision and Pattern Recognition (CVPR), 2023
Rudra P. K. Poudel
Harit Pandya
Stephan Liwicki
Roberto Cipolla
DRL
OffRL
254
16
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14 Dec 2023
The Generalization Gap in Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
529
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10 Dec 2023
Provably Efficient CVaR RL in Low-rank MDPs
International Conference on Learning Representations (ICLR), 2023
Yulai Zhao
Wenhao Zhan
Xiaoyan Hu
Ho-fung Leung
Farzan Farnia
Wen Sun
Jason D. Lee
318
6
0
20 Nov 2023
Invariant Causal Imitation Learning for Generalizable Policies
Neural Information Processing Systems (NeurIPS), 2023
Ioana Bica
Daniel Jarrett
Mihaela van der Schaar
CML
OffRL
OOD
364
46
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02 Nov 2023
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation
Chengpeng Li
Zhengyi Yang
Jizhi Zhang
Jiancan Wu
Dingxian Wang
Xiangnan He
Xiang Wang
OffRL
363
1
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25 Oct 2023
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Mirco Mutti
Ric De Santi
Marcello Restelli
Alexander Marx
Giorgia Ramponi
CML
370
6
0
11 Oct 2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation
Neural Information Processing Systems (NeurIPS), 2023
Sili Huang
Yanchao Sun
Jifeng Hu
Siyuan Guo
Hechang Chen
Yi-Ju Chang
Lichao Sun
Bo Yang
314
10
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08 Oct 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Neural Information Processing Systems (NeurIPS), 2023
Chuning Zhu
Max Simchowitz
Siri Gadipudi
Abhishek Gupta
385
16
0
31 Aug 2023
Finding emergence in data by maximizing effective information
National Science Review (NSR), 2023
Mingzhe Yang
Zhipeng Wang
Kaiwei Liu
Ying Rong
Bing Yuan
Jiang Zhang
CML
355
14
0
19 Aug 2023
Regularizing Adversarial Imitation Learning Using Causal Invariance
Ivan Ovinnikov
J. M. Buhmann
CML
246
0
0
17 Aug 2023
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
386
36
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04 Jul 2023
On the Importance of Exploration for Generalization in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Yiding Jiang
J. Zico Kolter
Roberta Raileanu
UQCV
OffRL
231
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Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL
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M. Spaan
F. Oliehoek
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390
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Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
IEEE Transactions on Intelligent Vehicles (TIV), 2023
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Guanjun Liu
Ying-Si Tang
337
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Explainable Reinforcement Learning via a Causal World Model
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Jingqing Ruan
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603
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Environment Invariant Linear Least Squares
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Cong Fang
Yihong Gu
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377
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Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution
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Rui Yang
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Zhihao Shi
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Qi Zhou
Shuiwang Ji
Bin Li
Yongdong Zhang
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307
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A Survey on Causal Reinforcement Learning
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Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zijian Li
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540
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A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
International Journal of Computer Vision (IJCV), 2022
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Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
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448
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Hyperbolic Deep Reinforcement Learning
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B. Chamberlain
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Jonathan J. Hunt
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204
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29 Sep 2022
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