Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution

Jannik Hösch, Alessandro Sestini, Florian Fuchs +6

Reinforcement learning (RL) has achieved strong performance in sequential decision-making, yet scaling to complex multi-agent environments remains challenging due to sparse rewards…