Board Game Play on 10x10 Othello
0.578Win RateRGSC
Evaluation Results
| Method | Links | |
|---|---|---|
| RGSCOpponent=Ludii (alpha-beta search), MCTS simulations per move=200, Evaluation checkpoint=Final, Training iterations=300, Backbone=3-block residual network2026.02 | 0.578 | |
| Go-ExploitOpponent=Ludii (alpha-beta search), MCTS simulations per move=200, Evaluation checkpoint=Final, Training iterations=300, Backbone=3-block residual network, Variant=GEVC2026.02 | 0.529 | |
| AlphaZeroOpponent=Ludii (alpha-beta search), MCTS simulations per move=200, Evaluation checkpoint=Final, Training iterations=300, Backbone=3-block residual network2026.02 | 0.517 |