Confounded Causal Imitation Learning with Instrumental Variables
Fuente:
arXiv
Saved in:
| Main Authors: | Zeng, Yan, Nie, Shenglan, Xie, Feng, Huang, Libo, Wu, Peng, Geng, Zhi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Local Causal Structure Learning in the Presence of Latent Variables
by: Xie, Feng, et al.
Published: (2024)
by: Xie, Feng, et al.
Published: (2024)
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
by: Li, Zheng, et al.
Published: (2026)
by: Li, Zheng, et al.
Published: (2026)
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
by: Guo, Xichen, et al.
Published: (2024)
by: Guo, Xichen, et al.
Published: (2024)
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
by: Shao, Daqian, et al.
Published: (2025)
by: Shao, Daqian, et al.
Published: (2025)
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
by: Xie, Feng, et al.
Published: (2023)
by: Xie, Feng, et al.
Published: (2023)
Optimizing Graph Causal Classification Models: Estimating Causal Effects and Addressing Confounders
by: Job, Simi, et al.
Published: (2026)
by: Job, Simi, et al.
Published: (2026)
Relational Causal Discovery with Latent Confounders
by: Negro, Matteo, et al.
Published: (2025)
by: Negro, Matteo, et al.
Published: (2025)
Meaningful Causal Aggregation and Paradoxical Confounding
by: Zhu, Yuchen, et al.
Published: (2023)
by: Zhu, Yuchen, et al.
Published: (2023)
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data
by: Wang, Danyang, et al.
Published: (2024)
by: Wang, Danyang, et al.
Published: (2024)
Denoising-based Contractive Imitation Learning
by: Shen, Macheng, et al.
Published: (2025)
by: Shen, Macheng, et al.
Published: (2025)
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
by: Luo, Kang, et al.
Published: (2024)
by: Luo, Kang, et al.
Published: (2024)
Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)
by: Cheng, Debo, et al.
Published: (2024)
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders
by: Gonzales, Christophe, et al.
Published: (2024)
by: Gonzales, Christophe, et al.
Published: (2024)
Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning
by: Wang, Libo
Published: (2025)
by: Wang, Libo
Published: (2025)
Information-Theoretic Causal Bounds under Unmeasured Confounding
by: Jung, Yonghan, et al.
Published: (2026)
by: Jung, Yonghan, et al.
Published: (2026)
Federated Causal Discovery Across Heterogeneous Datasets under Latent Confounding
by: Hahn, Maximilian, et al.
Published: (2026)
by: Hahn, Maximilian, et al.
Published: (2026)
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
by: Cai, Ruichu, et al.
Published: (2024)
by: Cai, Ruichu, et al.
Published: (2024)
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
by: Xu, Hangtong, et al.
Published: (2023)
by: Xu, Hangtong, et al.
Published: (2023)
A Recipe for Causal Graph Regression: Confounding Effects Revisited
by: Yin, Yujia, et al.
Published: (2025)
by: Yin, Yujia, et al.
Published: (2025)
DIDA: Denoised Imitation Learning based on Domain Adaptation
by: Huang, Kaichen, et al.
Published: (2024)
by: Huang, Kaichen, et al.
Published: (2024)
GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
by: Banayeeanzade, Amin, et al.
Published: (2025)
by: Banayeeanzade, Amin, et al.
Published: (2025)
Variable-Agnostic Causal Exploration for Reinforcement Learning
by: Nguyen, Minh Hoang, et al.
Published: (2024)
by: Nguyen, Minh Hoang, et al.
Published: (2024)
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data
by: Ribeiro, Adèle H., et al.
Published: (2025)
by: Ribeiro, Adèle H., et al.
Published: (2025)
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)
by: Ma, Pingchuan, et al.
Published: (2024)
by: Ma, Pingchuan, et al.
Published: (2024)
Adversarial Imitation Learning via Boosting
by: Chang, Jonathan D., et al.
Published: (2024)
by: Chang, Jonathan D., et al.
Published: (2024)
Model-Based Reinforcement Learning Under Confounding
by: Venkatesh, Nishanth, et al.
Published: (2025)
by: Venkatesh, Nishanth, et al.
Published: (2025)
InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding
by: Zhang, Ziyi, et al.
Published: (2025)
by: Zhang, Ziyi, et al.
Published: (2025)
A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification
by: Wen, Xin, et al.
Published: (2025)
by: Wen, Xin, et al.
Published: (2025)
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)
by: Shao, Jie-Jing, et al.
Published: (2024)
XQSV: A Structurally Variable Network to Imitate Human Play in Xiangqi
by: Zhou, Chenliang
Published: (2024)
by: Zhou, Chenliang
Published: (2024)
LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
by: Lee, Po-Han, et al.
Published: (2025)
by: Lee, Po-Han, et al.
Published: (2025)
Semi-Supervised One-Shot Imitation Learning
by: Wu, Philipp, et al.
Published: (2024)
by: Wu, Philipp, et al.
Published: (2024)
Automating the Selection of Proxy Variables of Unmeasured Confounders
by: Xie, Feng, et al.
Published: (2024)
by: Xie, Feng, et al.
Published: (2024)
Quantifying Generalisation in Imitation Learning
by: Gavenski, Nathan, et al.
Published: (2025)
by: Gavenski, Nathan, et al.
Published: (2025)
Imitation Bootstrapped Reinforcement Learning
by: Hu, Hengyuan, et al.
Published: (2023)
by: Hu, Hengyuan, et al.
Published: (2023)
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
by: Cai, Haoyuan, et al.
Published: (2025)
by: Cai, Haoyuan, et al.
Published: (2025)
CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
by: Zhao, Jitian, et al.
Published: (2026)
by: Zhao, Jitian, et al.
Published: (2026)
Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
by: Shao, Jie-Jing, et al.
Published: (2024)
by: Shao, Jie-Jing, et al.
Published: (2024)
Similar Items
-
Local Causal Structure Learning in the Presence of Latent Variables
by: Xie, Feng, et al.
Published: (2024) -
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
by: Li, Zheng, et al.
Published: (2026) -
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
by: Guo, Xichen, et al.
Published: (2024) -
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
by: Shao, Daqian, et al.
Published: (2025) -
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
by: Xie, Feng, et al.
Published: (2023)