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