Search Results for "machine learning platform"

Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)...

Lucas Chess (R) is a free, open-source chess program designed primarily for training and improving chess skills. It acts as a comprehensive learning platform, offering tools for beginners and advanced players alike. The software includes a wide range of exercises covering openings, tactics, endgames, and visualization techniques. Users can play against multiple chess engines with adjustable difficulty levels that simulate different strengths. It also provides detailed game analysis, helping players understand mistakes and improve decision-making. ...

Mastermind RK is a little cross-platform game for various classic Z80-based computers, written in C using the z88dk compiler (www.z88dk.org). Your goal is to break a four-digit colour code in as few moves as possible. The compiled program is a little over 8K in size, so it usually requires the target machine to have at least 16K RAM. Currently, 83 target systems are supported, including Mattel Aquarius, Sinclair ZX80 and ZX81 (with a separate Chroma colour version), ColecoVision, various Robotron computers, Philips P2000 and VG5000, and many more. 2025-11-10: - New target supported: Commodore 128 (using the Z80 CPU)

This is UCI Chess Engine writen in Java. Since version 1.4 (inclusive) the project was moved to https://github.com/bagaturchess/Bagatur

This project is an application of POSM algorithm on Chinese chess computer player. A computer player is implemented, which will adapt to the its opponent by adjusting its playing strength accordingly.

Octave program which trains artificial neural networks to play backgammon through self-play.

An object-oriented platform and algorithms for the game of GO. Aims: 1) A capable engine that can learn through experience. 2) A re-usable algorithmic framework for rapid development of new GO-playing engines.