Exploring Deep Q Network Learning To Play Breakout
Exploring Deep Q Network Learning To Play Breakout reveals several interesting facts.
- We're going to be using a Duelling DQN architecture to teach an agent to
- Trained using https://github.com/tambetm/simple_dqn.
- 3 convolutional layers and 2 hidden dense layers after 1000000 training iterations Source code: ...
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- Training took ~32 hours on an RTX 3060ti (8GB VRAM). I trained DQN for 50 million environment steps using a replay buffer of ...
In-Depth Information on Deep Q Network Learning To Play Breakout
Google DeepMind created an artificial intelligence program using 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
Code available here: https://github.com/spragunr/deep_q_rl.
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