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

Author:

Ouessai Abdessamed,Salem Mohammed,Mora Antonio M.

Funder

Junta de Andalucía

Ministerio de Economía y Competitividad

European Regional Development Fund

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Software

Reference41 articles.

1. Grandmaster level in StarCraft II using multi-agent reinforcement learning;Vinyals;Nature,2019

2. A. Ouessai, M. Salem, A.M. Mora, Improving the Performance of MCTS-Based RTS Agents Through Move Pruning, in: 2020 IEEE Conference on Games (CoG), 2020, pp. 708–715. doi:10.1109/CoG47356.2020.9231715.

3. A. Ouessai, M. Salem, A.M. Mora, Parametric Action Pre-Selection for MCTS in Real-Time Strategy Games, in: VI Congress of the Spanish Society for Video Game Sciences, CEUR-WS, Madrid, Spain, 2020, pp. 104–115.

4. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms;Back,1996

5. ORTS: A Hack-Free RTS Game Environment;Buro,2003

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