play datasets

Catan AI Self-Play Training Metrics (171 Iterations)

AlphaZero-style training run for Catan: policy/value losses, game lengths, MCTS agreement, and value calibration across 171 self-play iterations.

171 rows · 38 columns

AlphaZero-Style Self-Play Training Metrics (177 Iterations)

Policy loss, value loss, game length, and MCTS agreement tracked over 177 self-play iterations of AlphaZero-style reinforcement learning.

176 rows · 41 columns

AlphaZero-Style Training Run: 171 Iterations of Self-Play

Policy and value network training metrics over 171 iterations, tracking loss convergence, game length, MCTS agreement, and value calibration.

171 rows · 38 columns