Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning

Author:

Crandall Jacob W.,Goodrich Michael A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference52 articles.

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2. Auer, P., Cesa-Bianchi, N., Freund, Y., & Schapire, R. E. (1995). Gambling in a rigged casino: the adversarial multi-armed bandit problem. In Proceedings of the 36th annual symposium on foundations of computer science (pp. 322–331). Los Alamitos: IEEE Comput. Soc.

3. Aumann, R. J. (1974). Subjectivity and correlation in randomized strategies. Journal of Mathematical Economics, 1, 67–96.

4. Axelrod, R. (1984). The evolution of cooperation. New York: Basic Books.

5. Banerjee, D., & Sen, S. (2007). Reaching pareto-optimality in prisoner’s dilemma using conditional joint action learning. Autonomous Agents and Multi-Agent Systems, 15, 91–108.

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