Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning

Hon Tik Tse, Ho-fung Leung

Multi-agent reinforcement learning (MARL) can model many real world applications. However, many MARL approaches rely on epsilon greedy for exploration, which may discourage visitin…