Exploring Breakout Deep Reinforcement Learning
Exploring Breakout Deep Reinforcement Learning reveals several interesting facts.
- These are the visual results of the Atari
- A tutorial on how to make an AI /
- Globalfuturist.org: Google #DeepMind Deep Q learning playing Atari Breakout
- Using
- 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 Breakout Deep Reinforcement Learning
Google DeepMind created an artificial intelligence program using Deep MachineLearning # This video illustrates the improvement in the performance of DQN over training (i.e. after 100, 200, 400 and 600 episodes).
We're going to be using a Duelling DQN architecture to teach an agent to play Atari
Stay tuned for more updates related to Breakout Deep Reinforcement Learning.
