2018/06/22 by Simon M. Lucas, Lucas, Simon M.
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Reinforcement Learning in Robotics #cs.AI
paper · pdf · doi:10.48550/arxiv.1806.08544
To appear in Proceedings of IEEE Conference on Computational and Games, 2018
arxiv created 2018/06/22 · openalex publication_date 2018/06/22 · arxiv updated 2018/06/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper describes a new implementation of Planet Wars, designed from the outset for Game AI research. The skill-depth of the game makes it a challenge for game-playing agents, and the speed of more than 1 million game ticks per second enables rapid experimentation and prototyping. The parameterised nature of the game together with an interchangeable actuator model make it well suited to automated game tuning. The game is designed to be fun to play for humans, and is directly playable by General Video Game AI agents.