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feat(python): add native search opponents for training - #73
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nosam1998
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October 1, 2026 02:42
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Add minimax:1..10 and mcts:1..10 opponents to Gymnasium and a read-only native recommendation method. Search uses the opponent observation and fixed node/depth budgets, with seeds from the checkpointed RNG. Position curricula and reset rollback work with these opponents.
Tests cover immediate wins, unchanged state, repeated decisions, capped chess, checkpoint continuation, second-seat openings, and rejected configurations. All seven CI workflows passed, including Windows, Linux, and macOS. Levels remain provisional resource budgets pending strength calibration.