Improved Version of the Pong Game Using RL TD3

版本 1.0.4 (2.0 MB) 作者: Ismael Abdulrahman
An improved version of the pong game.
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更新时间 2021/11/7

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This program uses the TD3 RL technique to train an agnet for the pong game.
It is the same as the original one developed by Johanna Pingel (a MATLAB staff and blogger) with the following changes:
1. Another state is added to the observation-state vector called q8 with the equation: q8 = abs(ball_x-paddle_x)
2. TD3 is used instead of DDPG
3. rng is added to use the same random noise at each time the agent is trained (for comparison)
Original code:
https://blogs.mathworks.com/deep-learning/2021/03/12/playing-pong-using-reinforcement-learning/

引用格式

Ismael Abdulrahman (2024). Improved Version of the Pong Game Using RL TD3 (https://www.mathworks.com/matlabcentral/fileexchange/101629-improved-version-of-the-pong-game-using-rl-td3), MATLAB Central File Exchange. 检索时间: .

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创建方式 R2021b
兼容 R2021a 到 R2021b 的版本
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版本 已发布 发行说明
1.0.4

Fixing typos.

1.0.3

Minor change.
1.0.2

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1.0.1

Minor change.
1.0.0