arXiv Machine Learning August 6, 2026 By Maciej Wojtala, Bogusz Stefa\'nczyk, Dominik Bogucki, {\L}ukasz Lepak, Pawe{\l} Wawrzy\'nski

Communication-Enhanced Tutoring for Efficient Decentralized Multi-Agent Reinforcement Learning

Read the original on arXiv Machine Learning →

arXiv:2508. 13661v4 Announce Type: replace Abstract: Centralized Training with Decentralized Execution (CTDE) is the dominant paradigm in multi-agent reinforcement learning (MARL), enabling agents to act independently at test time while leveraging additional information during training.

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CCKS: Consensus-based Communication and Knowledge Sharing

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning

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