Fifteen months ago I released Juggernaut 1.0 with a deliberately modest brief: build a rock-solid Delphi chess engine that could survive ultra-fast games without crashing, losing on time, or misbehaving under the UCI protocol. The search was plain alpha-beta with a quiescence search bolted on, the evaluation was nothing more than piece-square tables, and the […]
I’m pleased to announce my new chess engine — Juggernaut. The name is somewhat tongue-in-cheek as Juggernaut is written in Delphi 64-bit, which does not product the fastest executable. Nevertheless, Delphi is my “mother tongue” and I simply wanted to develop a Delphi chess engine. Juggernaut 1.0 Objectives: Create a rock-solid Delphi chess engine, capable […]
Richard has released a new version of The Baron. This version cleans up some Syzygy bugs and fine-tunes the engine. He estimates the strength increase is +20 to +50 ELO. Find out more here: The Baron 3.44
Richard Pijl has been kind enough to released The Baron 3.43. This is almost identical to the version that played in the 2018 WCCC. Here are Richard’s release notes: Changes since 3.42: Bugs solved: Pin detection in evaluation only detected close pins. Handle spaces in the syzygy path Slightly more restrictive in playing easy moves […]
Richard Pijl has just released another version of The Baron (v3.42). This will be the last version for this code base. Find out more, and download here
Fabien Letouzey has just released Senpai 2.0. This is mostly a complete rewrite. He’s made extensive changes and added automated tuning of evaluation parameters. You can find out more on the Senpai page.
Richard Pijl has kindly released his latest version of The Baron (3.41). You can find out more, and download it here.
Thanks to Antonio Arias we now have Linux binaries included with the main distribution of Maverick. You can download them here.
I’m happy to announce the release of Maverick 1.5. This is close to the version which competed in the 2015 World Computer Chess Championship in Leiden. I’d estimate that it’s only about +50 ELO better than version 1.o (based on self play). I’m about to embark on a rewrite of the evaluation function so I […]