Exploring Deep Q Learning For Atari Breakout
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- This video illustrates the improvement in the performance of DQN over training (i.e. after 100, 200, 400 and 600 episodes).
- Python code using Open AI's gym and Stable Baselines3 to play
- Training took ~32 hours on an RTX 3060ti (8GB VRAM). I trained DQN for 50 million environment steps using a replay buffer of ...
- In our work, we explore transfer learning from one environment to another using
- DRL agent playing
In-Depth Information on Deep Q Learning For Atari Breakout
Google DeepMind created an artificial intelligence program using Subscribe for more ▻ https://bit.ly/2WKYVPj Watch me create the classic Globalfuturist.org: Google #DeepMind Deep Q learning playing Atari Breakout Agent learns how to play
These are the visual results of the
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