Markov Games, Backwards Induction & Coordination Mechanisms
RL and Game Theory
Single-agent reinforcement learning works under a simple however important assumption: the environment is stationary.
In other words, the world behaves in a predictable way that depends only on the actions of a single learner.
In multi-agent systems conversely — which are prevalent in almost all
