2025
Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
IROS 2025
Multi-Agent Systems (MAS) excel at accomplishing complex objectives through the collaborative efforts of individual agents. Among the methodologies employed in MAS, Multi-Agent Reinforcement Learning (MARL) stands out as one of the most efficacious algorithms. However, when confronted with the compl