Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control

Hansung Kim, Edward L. Zhu, Chang Seok Lim +1

We introduce an Implicit Game-Theoretic MPC (IGT-MPC), a decentralized algorithm for two-agent motion planning that uses a learned value function that predicts the game-theoretic i…