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Symmetric equilibrium of multi-agent reinforcement learning in repeated prisoner’s dilemma

  • Published:2021-11 Issue: Volume:409 Page:126370
  • ISSN:0096-3003
  • Container-title:Applied Mathematics and Computation
  • language:en
  • Short-container-title:Applied Mathematics and Computation

Author:

Usui Yuki,Ueda Masahiko

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference26 articles.

1. Prisoner’s Dilemma: A Study in Conflict and Cooperation;Rapoport,1965

2. Partners and rivals in direct reciprocity;Hilbe;Nat. Hum. Behav.,2018

3. Optimal policies for the prisoner’s dilemma.;Rapoport;Psychol Rev,1967

4. Multiagent reinforcement learning in the iterated prisoner’s dilemma;Sandholm;BioSystems,1996

5. Chaos in learning a simple two-person game;Sato;Proc. Natil. Acad. Sci.,2002

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1. The emergence of cooperation via Q-learning in spatial donation game;Journal of Physics: Complexity;2024-04-26

2. Emergence of cooperation in two-agent repeated games with reinforcement learning;Chaos, Solitons & Fractals;2023-10

3. Designing a Cooperative Evolution Mechanism Based on Deep q-Network;2023 5th International Conference on Applied Machine Learning (ICAML);2023-07-21

4. Memory-two strategies forming symmetric mutual reinforcement learning equilibrium in repeated prisoners’ dilemma game;Applied Mathematics and Computation;2023-05

5. A reinforcement learning-based strategy updating model for the cooperative evolution;Physica A: Statistical Mechanics and its Applications;2023-05
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