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Influencing Long-Term Behavior in Multiagent Reinforcement Learning., , , , , , , и . NeurIPS, (2022)A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning., , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 5541-5550. PMLR, (2021)Weighted Network Design With Cardinality Constraints via Alternating Direction Method of Multipliers., , и . IEEE Trans. Control. Netw. Syst., 5 (4): 2073-2084 (2018)Automata Guided Semi-Decentralized Multi-Agent Reinforcement Learning., , и . ACC, стр. 3900-3905. IEEE, (2020)FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer., , и . ICRA, стр. 10617-10624. IEEE, (2021)ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation., , и . ICRA, стр. 5503-5510. IEEE, (2022)Distributed Optimization for Convex Mixed-Integer Programs based on Projected Subgradient Algorithm., и . CDC, стр. 2581-2586. IEEE, (2018)Distributed Optimization for Rank-Constrained Semidefinite Programs., , , и . IEEE Control. Syst. Lett., (2023)An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers.. CoRR, (2022)Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming., и . AAAI, стр. 20975-20983. AAAI Press, (2024)