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

arXiv: Artificial Intelligence, Volume abs/1803.00162, 2018.

Cited by: 13|Bibtex|Views35|Links
EI

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments