Shubham Pateria

L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning

Multi-agent reinforcement learning (MARL) has demonstrated remarkable success in collaborative tasks, yet faces significant challenges in scaling to complex scenarios requiring sustained planning and coordination across long horizons. While hierarchical approaches help decompose these tasks, they ty