Efficiently Computing Nash Equilibria in Adversarial Team Markov Games

Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas +3

Computing Nash equilibrium policies is a central problem in multi-agent reinforcement learning that has received extensive attention both in theory and in practice. However, provab…