Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach
arXiv: Artificial Intelligence, Volume abs/1803.00162, 2018.
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
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