Since you’re here...

We hope you will consider supporting us today. We need your support to continue to exist, because good entries are more and more work time. Every reader contribution, however big or small, is so valuable. Support "Chess Engines Diary" even a small amount– and it only takes a minute. Thank you.
============================== My email: jotes@go2.pl



New chess engine: Jackal 1.0.0

on



 New chess engine: Jackal 1.0.0

v.1.0.0:
This engine was developed to harvest some aggressiveness from the MCTS search method. Current estimated Elo is around 3000.

Implemented Features:
Tree reuse
LRU
FPU
Gini scaling
Scaling C with search duration
Variance scaling
Exploration scaling
Threats in value net
Defenses in value net
Horizontal mirroring in value net
Softmax policy temperature at root
Extended time manager
Multithreading
Hashtable
Jackal currently supports multiple threads, but due to some unidentified bug it doesn't play better with more than 1 thread. ($100 for fixing PR)

Features to Increase Its EAS:
Policy bonus to sacrifices
Filtering positions to only those where sides with lower material won the game
Asymmetrical contempt in PUCT
Bonus to positions that have less material than root position
I measured Jackal's EAS to be around 230k, while I also noticed it is very slow to end the games and draws a lot of winning positions. My current guess is that MCTS heavily relies on its neural nets and my current data is just not strong enough to be efficient in end games.



Comments

Post a Comment