Sun, Y.; Yuan, B.; Zhang, T.; Tang, B.; Zheng, W.; Zhou, X. Research and Implementation of Intelligent Decision Based on a Priori Knowledge and DQN Algorithms in Wargame Environment. Electronics2020, 9, 1668.
Sun, Y.; Yuan, B.; Zhang, T.; Tang, B.; Zheng, W.; Zhou, X. Research and Implementation of Intelligent Decision Based on a Priori Knowledge and DQN Algorithms in Wargame Environment. Electronics 2020, 9, 1668.
Sun, Y.; Yuan, B.; Zhang, T.; Tang, B.; Zheng, W.; Zhou, X. Research and Implementation of Intelligent Decision Based on a Priori Knowledge and DQN Algorithms in Wargame Environment. Electronics2020, 9, 1668.
Sun, Y.; Yuan, B.; Zhang, T.; Tang, B.; Zheng, W.; Zhou, X. Research and Implementation of Intelligent Decision Based on a Priori Knowledge and DQN Algorithms in Wargame Environment. Electronics 2020, 9, 1668.
Abstract
The reinforcement learning problem of complex action control in the Multi-player wargame is a hot research topic in recent years. In this paper , a game system based on turn-based confrontation is designed and implemented with the state-of-the-art deep reinforcement learning models. Specifically, we first design a Q-learning algorithm to achieve intelligent decision-making, which is based the DQN(Deep Q Network) to model the complex game behaviors. Then, a priori- knowledge based algorithm PK-DQN(Prior Knowledge- Deep Q Network) is introduced to improve the DQN algorithm, which accelerates the convergence speed and stability of the algorithm. The experiments demonstrate, the correctness of the PK-DQN algorithm is validated and its performance surpass the conventional DQN algorithm. Furthermore, the PK-DQN algorithm shows effectiveness in defeating the high level of rule-based opponents, which provides promising results for the exploration of the field of smart chess and intelligent game deduction.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Yuxiang Sun