Autonomous agents in snake game via deep reinforcement learning

• Main Authors: Wei, Zhepei, Wang, Di, Zhang, Ming, Tan, Ah-Hwee, Miao, Chunyan, Zhou, You
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: Deep Reinforcement Learning; Snake Game; Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/89882; http://hdl.handle.net/10220/49389
• Institution: 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...