I added tapered evaluation to MadChess 2.0 Beta. The evaluation assigns a material score, a middlegame piece location score, and an endgame piece location score. Then calculates the game phase and returns a weighted average of the middlegame and endgame scores.
By separating piece location scores into middlegame and endgame phases, I can encourage MadChess to hold its queen back during the middlegame, and bring its king to the center during the endgame, for example.
This added 107 Elo to the playing strength of MadChess 2.0 Beta.
MadChess 2.0 1596 : 800 (+42,=72,-686), 9.8 % vs. : games ( +, =, -), (%) : Diff, SD, CFS (%) BikJump v2.01 : 100 ( 0, 2, 98), 1.0 : -490, 18, 0.0 Matheus-2.3 : 100 ( 3, 10, 87), 8.0 : -467, 17, 0.0 Monarch 1.7 : 100 ( 2, 2, 96), 3.0 : -446, 18, 0.0 BigLion 2.23w : 100 ( 5, 11, 84), 10.5 : -413, 17, 0.0 Faile 1.4 : 100 ( 7, 10, 83), 12.0 : -404, 16, 0.0 Sharper 0.17 : 100 ( 4, 9, 87), 8.5 : -396, 17, 0.0 Jabba13032012 : 100 ( 7, 12, 81), 13.0 : -337, 17, 0.0 Roce 0.0390 : 100 ( 14, 16, 70), 22.0 : -258, 16, 0.0
| Feature | Category | Date | Rev1 | WAC2 | Elo Rating3 | Improvement |
|---|---|---|---|---|---|---|
| Tapered Evaluation MG and EG Piece Location |
Evaluation | 2014 Nov 29 | 21 | 234 | 1596 | +107 |
| Alpha / Beta Negamax Aspiration Windows Quiescence, Hash Material, Piece Squares |
Baseline | 2014 Nov 25 | 20 | 236 | 1489 | – |
- Subversion source code revision
- Win At Chess position test, 3 seconds per position
- Bullet chess, 2 min / game + 1 sec / move
I work as a Software Architect at an insurance company. We're building a modern tech stack in the cloud using C#, Azure, ASP.NET Core, Angular, TypeScript, etc.