An iterative-update and shared-network variant of MADDPG that stabilizes multi-agent training and cuts wall-clock time, with mixed performance gains depending on the task.
Re- inforcement learning for cooperating and communicating reactive agents in electrical power grids
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Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning
An iterative-update and shared-network variant of MADDPG that stabilizes multi-agent training and cuts wall-clock time, with mixed performance gains depending on the task.