Ludax: A GPU-Accelerated Domain Specific Language for Board Games

ArXi:2506.22609v2 Announce Type: replace Games have long been used as benchmarks and testing environments for research in artificial intelligence. A key step in ing this research was the development of game description languages: frameworks that compile domain-specific code into playable and simulatable game environments, allowing researchers to generalize their algorithms and approaches across multiple games without having to manually implement each one. recently, progress in reinforcement learning (RL) has been largely driven by advances in hardware acceleration.