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GitHub / Develop-Packt / Getting-Started-with-OpenAI-and-TensorFlow-for-RL

The module will cover OpenAI Gym environments, and essential concepts such as rewards, punishment and discounting factors. You will also look at implementing custom environments in Tensorflow 2

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Develop-Packt%2FGetting-Started-with-OpenAI-and-TensorFlow-for-RL
PURL: pkg:github/Develop-Packt/Getting-Started-with-OpenAI-and-TensorFlow-for-RL

Stars: 0
Forks: 2
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 17.1 MB
Dependencies parsed at: Pending

Created at: about 5 years ago
Updated at: about 5 years ago
Pushed at: about 5 years ago
Last synced at: over 2 years ago

Topics: ai, openai-gym, python, reinforcement-learning, tensorflow-2

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