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Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning., , , , и . CoRR, (2023)Coordinated Proximal Policy Optimization., , , , , и . NeurIPS, стр. 26437-26448. (2021)A Unified Diversity Measure for Multiagent Reinforcement Learning., , , , , и . NeurIPS, (2022)Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning., , , , и . AAAI, стр. 10435-10443. AAAI Press, (2023)Safe Offline Reinforcement Learning with Real-Time Budget Constraints., , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 21127-21152. PMLR, (2023)CoalUMLP: Slice and Dice! A Fast, MLP-Like 3D Medical Image Segmentation Network., , , и . PRICAI (3), том 14327 из Lecture Notes in Computer Science, стр. 81-92. Springer, (2023)Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation., , и . ICTAI, стр. 57-64. IEEE, (2021)Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning., , , , и . NeurIPS, (2022)Policy-regularized Offline Multi-objective Reinforcement Learning., , , и . AAMAS, стр. 1201-1209. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Off-Policy Primal-Dual Safe Reinforcement Learning., , , , , , , и . ICLR, OpenReview.net, (2024)