Introduction to Deep Q Network Breakout
Exploring Deep Q Network Breakout reveals several interesting facts. Google DeepMind created an artificial intelligence program using
Deep Q Network Breakout Comprehensive Overview
The code was implemented by Nathan Sprague and can be downloaded from here: https://github.com/spragunr/deep_q_rl It ... This video illustrates the improvement in the performance of DQN over training (i.e. after 100, 200, 400 and 600 episodes). Let's talk about
Trained using https://github.com/tambetm/simple_dqn.
Summary & Highlights for Deep Q Network Breakout
- Original EMDQN code: https://github.com/LinZichuan/emdqn. I have changed a small part of the original code in order to break the ...
- Training took ~32 hours on an RTX 3060ti (8GB VRAM). I trained DQN for 50 million environment steps using a replay buffer of ...
- Trained with
- 5 million of frames, 422 best score using Noisy Double Dueling DQN. Link to my github: https://github.com/Denys88/rl_games.
- 3 convolutional layers and 2 hidden dense layers after 1000000 training iterations Source code: ...
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