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
- A tutorial on how to make an AI /
- Training took ~32 hours on an RTX 3060ti (8GB VRAM). I trained DQN for 50 million environment steps using a replay buffer of ...
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- 3 convolutional layers and 2 hidden dense layers after 1000000 training iterations Source code: ...
In-Depth Information on Deep Q Network Learning To Play Breakout
The code was implemented by Nathan Sprague and can be downloaded from here: https://github.com/spragunr/deep_q_rl It ... Google DeepMind created an artificial intelligence program using Trained using https://github.com/tambetm/simple_dqn. This video illustrates the improvement in the performance of DQN over training (i.e. after 100, 200, 400 and 600 episodes).
Trained with
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