Artificial Intelligence Techniques on Real-time Strategy Games

Author:

Zhen Yang1,Wanpeng Zhang1,Hongfu Liu1

Affiliation:

1. National University of Defense Technology, Changsha, China

Publisher

ACM Press

Reference61 articles.

1. Wender, S., & Watson, I. (2014). Combining Case-Based Reasoning and Reinforcement Learning for Unit Navigation in Real-Time Strategy Game AI. Case-Based Reasoning Research and Development. Springer International Publishing.

2. Foerster, J., Nardelli, N., Farquhar, G., Afouras, T., Torr, P. H. S., & Kohli, P., et al. (2018). Stabilising experience replay for deep multi-agent reinforcement learning.

3. Barriga, N. A., Stanescu, M., & Buro, M. (2015). Puppet Search: Enhancing Scripted Behavior by Look-Ahead Search with Applications to Real-Time Strategy Games. Aiide.

4. Gibney, E. (2016). What google's winning go algorithm will do next. Nature, 531(7594), 284.

5. Robertson, G., & Watson, I. (2014). A review of real-time strategy game ai. Ai Magazine, 35(4), 75--104.

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