Autonomous agents in snake game via deep reinforcement learning

• Main Authors: Wei, Zhepei, Wang, Di, Zhang, Ming, Tan, Ah-Hwee, Miao, Chunyan, Zhou, You
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2019
• 主題: Deep Reinforcement Learning; Snake Game; Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/89882; http://hdl.handle.net/10220/49389
• 機構: Nanyang Technological University

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...