Improved Version of the Pong Game Using RL TD3

Version 1.0.4 (2,04 Mo) par Ismael Abdulrahman
An improved version of the pong game.
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Mise à jour 7 nov. 2021

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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/

Citation pour cette source

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. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2021b
Compatible avec les versions R2021a à R2021b
Plateformes compatibles
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Version Publié le Notes de version
1.0.4

Fixing typos.

1.0.3

Minor change.
1.0.2

Minor change.
1.0.1

Minor change.
1.0.0