Machine Learning - Special issue on learning with probabilistic representations
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
An Information-Theoretic Approach to Model Identification in Interactive Influence Diagrams
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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Real-Time Strategy(RTS) games provide a challenging platform to implement online reinforcement learning(RL) techniques in a real application. Computer as one player monitors opponents'(human or other computers) strategies and then updates its own policy using RL methods. In this paper, we propose a multi-layer framework for implementing the online RL in a RTS game. The framework significantly reduces the RL computational complexity by decomposing the state space in a hierarchical manner. We implement the RTS game - Tank General, and perform a thorough test on the proposed framework. The results show the effectiveness of our proposed framework and shed light on relevant issues on using the RL in RTS games.