Autonomous agents in snake game via deep reinforcement learning

• المؤلفون الرئيسيون: Wei, Zhepei, Wang, Di, Zhang, Ming, Tan, Ah-Hwee, Miao, Chunyan, Zhou, You
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2019
• الموضوعات: Deep Reinforcement Learning; Snake Game; Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/89882; http://hdl.handle.net/10220/49389

Since DeepMind pioneered a deep reinforcement learning (DRL) model to play the Atari games, DRL has become a commonly adopted method to enable the agents to learn complex control policies in various video games. However, similar approaches may still need to be improved when applied to more challengi...