Van Phi Hoang

Mean-Field Critic with Linear Graph Transformer in Sparse-Reward Multi-Agent Reinforcement Learning

Scaling cooperative multi-agent reinforcement learning to many agents faces the difficulty of the centralized critic N which has the joint observation space grows with N. Furthermore, it becomes more challenges in the sparse-reward setting due to the sparseness of useful signal. Mean-field approaches address scalabilit...