Achieving pareto optimality through distributed learning
We propose a simple payoff-based learning rule that is completely decentralized, and that leads to an efficient configuaration of actions in any n-person finite strategic-form game with generic payoffs. The algorithm follows the theme of exploration versus exploitation and is hence stochastic in na...
| Main Authors: | , , |
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| Format: | Working paper |
| Published: |
University of Oxford
2011
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