Autonomous agents in snake game via deep reinforcement learning

Autonomous agents in snake game via deep reinforcement learning

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...

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Bibliographic Details
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 Paper
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

Internet

https://hdl.handle.net/10356/89882
http://hdl.handle.net/10220/49389

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