https://github.com/snowkylin/async_rl

Tensorflow implementation of asyncronous 1-step Q learning in "Asynchronous Methods for Deep Reinforcement Learning" with improvement on weight update process (use minibatch) to speed up training.
https://github.com/snowkylin/async_rl

asynchronous-methods deep-reinforcement-learning mini-batch tensorflow

Last synced: about 2 months ago
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Tensorflow implementation of asyncronous 1-step Q learning in "Asynchronous Methods for Deep Reinforcement Learning" with improvement on weight update process (use minibatch) to speed up training.

• Host: GitHub
• URL: https://github.com/snowkylin/async_rl
• Owner: snowkylin
• Created: 2017-01-23T12:36:26.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-01-31T12:32:35.000Z (almost 8 years ago)
• Last Synced: 2023-03-05T15:09:18.945Z (almost 2 years ago)
• Topics: asynchronous-methods, deep-reinforcement-learning, mini-batch, tensorflow
• Language: Python
• Homepage:
• Size: 124 MB
• Stars: 4
• Watchers: 3
• Forks: 3
• Open Issues: 0

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