Partial Belief Space Planning for Scaling Stochastic Dynamic Games
Kamran Vakil,Mela Coffey,Alyssa Pierson,Kamran Vakil,Mela Coffey,Alyssa Pierson
This paper presents a method to reduce computations for stochastic dynamic games with game-theoretic belief space planning through partially propagating beliefs. Complex interactions in scenarios such as surveillance, herding, and racing can be modeled using game-theoretic frameworks in the belief space. Stochastic dynamic games can be solved to a local Nash Equilibrium using a game-theoretic beli...
