Finding nash equilibrium for imperfect information games via fictitious play based on local regret minimization.
Int. J. Intell. Syst., 2022
A reinforcement learning framework based on regret minimization for approximating best response in fictitious self-play.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
Application of DDPG-based Collision Avoidance Algorithm in Air Traffic Control.
Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019