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- 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 ...
- The code was implemented by Nathan Sprague and can be downloaded from here: https://github.com/spragunr/deep_q_rl It ...
- Globalfuturist.org: Google #DeepMind Deep Q learning playing Atari Breakout
- Trained with
In-Depth Information on Deep Q Network Plays Atari Breakout Ae4350
Following methods presented in the DeepMind paper ' Google DeepMind created an artificial intelligence program using 5 million of frames, 422 best score using Noisy Double Dueling DQN. Link to my github: https://github.com/Denys88/rl_games. This was my first project of the summer took me about 3 weeks to implement and train. It was very challenging and time ...
3 convolutional layers and 2 hidden dense layers after 1000000 training iterations Source code: ...
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