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Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning., , , , , , and . KDD, page 934-942. ACM, (2021)DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems., , , , , , , , , and . AAAI, page 15456-15465. AAAI Press, (2024)Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 12843-12856. PMLR, (2022)Team-wise effective communication in multi-agent reinforcement learning., , , , , , , and . Auton. Agents Multi Agent Syst., 38 (2): 36 (December 2024)Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk., , , , , , and . MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 306-316. Springer, (2023)Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation., , , , , , , , and . AAAI, page 10324-10332. AAAI Press, (2023)CausalVAE: Structured Causal Disentanglement in Variational Autoencoder., , , , , and . CoRR, (2020)Causal World Models by Unsupervised Deconfounding of Physical Dynamics., , , , , and . CoRR, (2020)Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms., , , , , , and . CoRR, (2021)Traj-MAE: Masked Autoencoders for Trajectory Prediction., , , , , , , and . ICCV, page 8317-8328. IEEE, (2023)