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Recommended Range : 10000-100000 |
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### Play against current best ratio |
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### Play against latest model ratio |
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an agent will play against the current opponent. With probability |
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an agent will play against the latest opponent policy. With probability |
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1 - `play_against_latest_model_ratio`, the agent will play against a snapshot of its |
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opponent from a past iteration. |
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Note, this implementation will support any number of teams but ELO is only applicable to games with two teams. It is ongoing work to implement |
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a reliable metric for measuring progress in these scenarios. These scenarios can still train, though as of now, reward and qualitative observations |
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are the only metric by which we can judge performance. |
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Andrew Cohen