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Causal Discovery with Reinforcement Learning

11 June 2019

Papers citing "Causal Discovery with Reinforcement Learning"

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Title
Flow-Based Non-stationary Temporal Regime Causal Structure Learning Abdellah Rahmani P. Frossard AI4TS CML 24 0 0 20 Jun 2025
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities Tao Feng Yunke Zhang Huandong Wang Yong Li 487 1 0 09 Mar 2025
Causal Temporal Regime Structure Learning Abdellah Rahmani Pascal Frossard CML 256 2 0 20 Feb 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 79 0 0 15 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 159 0 0 28 Jan 2025
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions Guanyu Zhou Xiaohan Yu Wenxin Huang Xuemei Jia Xian Zhong Chia-Wen Lin CML 125 0 0 24 Nov 2024
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning Shi Bo 125 7 0 11 Aug 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 125 0 0 15 Jul 2024
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows Minjae Cho Jonathan P. How Chuangchuang Sun OODD OffRL 100 1 0 06 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 121 8 0 09 Apr 2024
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network Yilin Leng Wenju Cui Chen Bai Xi Jiang Shuangqing Chen Jian Zheng 62 0 0 20 Mar 2024
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 88 1 0 29 Nov 2023
Learning Independently from Causality in Multi-Agent Environments Rafael Pina V. D. Silva Corentin Artaud LRM 43 1 0 05 Nov 2023
Shadow Datasets, New challenging datasets for Causal Representation Learning Jiageng Zhu Hanchen Xie Jianhua Wu Jiazhi Li Mahyar Khayatkhoei Mohamed E. Hussein Wael AbdAlmageed 76 2 0 10 Aug 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 82 5 0 06 Mar 2023
Contrastive Video Question Answering via Video Graph Transformer Junbin Xiao Pan Zhou Angela Yao Yicong Li Richang Hong Shuicheng Yan Tat-Seng Chua ViT 105 37 0 27 Feb 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wen Liu T. French Ajmal Mian 67 1 0 26 Feb 2023
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 75 13 0 20 Feb 2023
From Continual Learning to Causal Discovery in Robotics Luca Castri Sariah Mghames Nicola Bellotto 73 8 0 10 Jan 2023
$Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing$ Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing Chao Min Guo-quan Wen Liang Gou Xiaogang Li Zhaozhong Yang CML 36 12 0 21 Dec 2022
Reinforcement Causal Structure Learning on Order Graph Dezhi Yang Guoxian Yu Jun Wang Zhe Wu Maozu Guo BDL CML 100 16 0 22 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto 115 18 0 29 Oct 2022
GFlowCausal: Generative Flow Networks for Causal Discovery Wenqian Li Yinchuan Li Shengyu Zhu Yunfeng Shao Jianye Hao Yan Pang BDL CML 67 12 0 15 Oct 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 115 84 0 16 Sep 2022
Learning domain-specific causal discovery from time series Xinyue Wang Konrad Paul Kording BDL CML AI4TS 52 1 0 12 Sep 2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso Danru Xu Erdun Gao Wei Huang Menghan Wang Andy Song Biwei Huang CML 87 4 0 07 Sep 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Ehsan Abbasnejad Biwei Huang Kun Zhang Javen Qinfeng Shi 75 25 0 30 Aug 2022
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables Ehsan Mokhtarian M. Khorasani Jalal Etesami Negar Kiyavash CML 80 7 0 14 Aug 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Yue Liu Ding Zhao LRM 93 40 0 19 Jul 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery Andreas Sauter Erman Acar Vincent François-Lavet CML 106 19 0 18 Jul 2022
De-Biasing Generative Models using Counterfactual Methods Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Gregory Pottie CML 67 7 0 04 Jul 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan O. Arik Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister OOD CML 49 2 0 13 Jun 2022
Differentiable Invariant Causal Discovery Yu Wang An Zhang Xiang Wang Yancheng Yuan Xiangnan He Tat-Seng Chua OOD CML 135 2 0 31 May 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao Ignavier Ng Biwei Huang Li Shen Wei Huang Tongliang Liu Kun Zhang H. Bondell CML 139 23 0 27 May 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 116 65 0 25 May 2022
Reinforced Causal Explainer for Graph Neural Networks Xiang Wang Y. Wu An Zhang Fuli Feng Xiangnan He Tat-Seng Chua CML 126 47 0 23 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 106 51 0 13 Apr 2022
Out-of-distribution Generalization with Causal Invariant Transformations Ruoyu Wang Mingyang Yi Zhitang Chen Shengyu Zhu OOD OODD 89 61 0 22 Mar 2022
Score matching enables causal discovery of nonlinear additive noise models Paul Rolland Volkan Cevher Matthäus Kleindessner Chris Russel Bernhard Schölkopf Dominik Janzing Francesco Locatello CML 99 90 0 08 Mar 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 109 157 0 28 Feb 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning Jingqing Ruan Yali Du Xuantang Xiong Dengpeng Xing Xiyun Li Linghui Meng Haifeng Zhang Jun Wang Bo Xu 89 30 0 17 Jan 2022
Automated causal inference in application to randomized controlled clinical trials Ji Q. Wu N. Horeweg M. de Bruyn R. Nout I. Jürgenliemk-Schulz ... H. Nijman V. Smit T. Bosse C. Creutzberg V. Koelzer CML 62 14 0 15 Jan 2022
Learning Bayesian Networks in the Presence of Structural Side Information Ehsan Mokhtarian S. Akbari Fatemeh Jamshidi Jalal Etesami Negar Kiyavash 63 16 0 20 Dec 2021
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 95 22 0 10 Dec 2021
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Biwei Huang H. Bondell FedML 87 17 0 07 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 127 61 0 30 Nov 2021
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti Abbavaram Gowtham Reddy V. Balasubramanian Amit Sharma CML 92 13 0 24 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 107 19 0 12 Nov 2021
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers Wei Zhou Xin He Wei Zhong Junhui Wang CML 81 4 0 01 Nov 2021