Evolving action pre-selection parameters for MCTS in real-time strategy games

• Published in: Entertainment computing Vol. 42; p. 100493
• Main Authors: Ouessai, Abdessamed, Salem, Mohammed, Mora, Antonio M.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2022
• Subjects: [formula omitted]RTS; Game AI; Genetic Algorithms; MCTS; Parameter Optimization; Real-Time Strategy; Game AI; MCTS; Real-Time Strategy; Genetic Algorithms; μRTS; Parameter Optimization
• ISSN: 1875-9521; 1875-953X
• DOI: 10.1016/j.entcom.2022.100493

•The massive number of possible actions in an RTS game is a challenge for AI.•Using domain knowledge can lead an AI towards promising states.•Small-scale heuristics could help in shaping the space of actions.•Heuristics may be combined to form a wide array of strategies.•Genetic algorithms are able...