policy datasets

AlphaZero Training Metrics: Policy and Value Loss Over 13 Iterations

Reinforcement learning training run tracking policy/value losses, game length, MCTS simulations, and value calibration across 13 self-play iterations.

13 rows · 51 columns

AlphaZero Training Run: Policy and Value Network Convergence

212 iterations of AlphaZero-style self-play training tracking policy/value loss, MCTS agreement, game outcomes, and value calibration.

212 rows · 38 columns