Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning

Robert Loftin, Aadirupa Saha, Sam Devlin +1

High sample complexity remains a barrier to the application of reinforcement learning (RL), particularly in multi-agent systems. A large body of work has demonstrated that explorat…