Autonomous Agents in Snake Game via Deep Reinforcement Learning

• Published in: 2018 IEEE International Conference on Agents (ICA) pp. 20 - 25
• Main Authors: Wei, Zhepei, Wang, Di, Zhang, Ming, Tan, Ah-Hwee, Miao, Chunyan, Zhou, You
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2018
• Subjects: autonomous agent; Autonomous agents; Computer science; Data preprocessing; Deep reinforcement learning; experience replay; Games; Learning (artificial intelligence); Machine learning; Snake Game; Training

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...