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MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation
Multi-agent reinforcement learning is a key method for training multi-robot systems over a
series of episodes in which robots are rewarded or punished according to their performance; …
series of episodes in which robots are rewarded or punished according to their performance; …
Large Language Models for Multi-Robot Systems: A Survey
The rapid advancement of Large Language Models (LLMs) has opened new possibilities in
Multi-Robot Systems (MRS), enabling enhanced communication, task planning, and human …
Multi-Robot Systems (MRS), enabling enhanced communication, task planning, and human …