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- 1Game theory
- 1General-sum games
- 1Machine learning
- 1Mediated equilibrium
- 1Multi-player games
- 1Regret minimization
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Fall 2023
Self-play is a technique for machine learning in multi-agent systems where a learning algorithm learns by interacting with copies of itself. Self-play is useful for generating large quantities of data for learning, but has the drawback that agents the learner will face post-training may have...
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