coba-rl-budget-allocation

【效率与协作】Dynamically allocate training budget across samples using a capability-oriented value function that measures per-sample training importance based on model capability evolution. Reduces training time via greedy heap-based allocation optimizing exploration-exploitation tradeoff.

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