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Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning., , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 12843-12856. PMLR, (2022)DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems., , , , , , , , , и . AAAI, стр. 15456-15465. AAAI Press, (2024)Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning., , , , , , и . KDD, стр. 934-942. ACM, (2021)Team-wise effective communication in multi-agent reinforcement learning., , , , , , , и . Auton. Agents Multi Agent Syst., 38 (2): 36 (декабря 2024)Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk., , , , , , и . MICCAI (6), том 14225 из Lecture Notes in Computer Science, стр. 306-316. Springer, (2023)Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms., , , , , , и . CoRR, (2021)Causal World Models by Unsupervised Deconfounding of Physical Dynamics., , , , , и . CoRR, (2020)CausalVAE: Structured Causal Disentanglement in Variational Autoencoder., , , , , и . CoRR, (2020)Traj-MAE: Masked Autoencoders for Trajectory Prediction., , , , , , , и . ICCV, стр. 8317-8328. IEEE, (2023)CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation., , , , и . ICCV, стр. 21369-21380. IEEE, (2023)