Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach

The Iterated Prisoneru0027s Dilemma has guided research on social dilemmas for decades. However, it distinguishes between only two atomic actions: cooperate and defect. In real-world prisoneru0027s dilemmas, these choices are temporally extended and different strategies may correspond to sequences of actions, reflecting grades of cooperat...More