coba-rl-budget-allocation

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.

Independent GitHub snapshot · Automated classification · Original documentation governs