Best Response Bayesian Reinforcement Learning for Multiagent Systems with State Uncertainty

It is often assumed that agents in multiagent systems with state uncertainty have full knowledge of the model of dynamics and sensors, but in many cases this is not feasible. A more realistic assumption is that agents must learn about the environment and other agents while acting. Bayesian methods for reinforcement learning are promising for this type of… CONTINUE READING