Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning

Hsu Kao, Vijay Subramanian

Due to information asymmetry, finding optimal policies for Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) is hard with the complexity growing doubly expo…