13 datasets

AlphaZero-Style RL Training Metrics (13 Iterations)

Policy and value network training logs tracking losses, game length, MCTS agreement, and value calibration across 13 self-play iterations.

13 rows · 51 columns

AlphaZero-Style Game Agent Training Metrics (13 Iterations)

Policy and value loss, game outcomes, and MCTS statistics from a reinforcement learning agent training run over 13 self-play iterations.

13 rows · 1 columns

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