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GitHub / Develop-Packt / Introduction-to-Policy-Based-Methods-for-Reinforcement-Learning

This module looks at policy based methods of reinforcement learning, principally the drawbacks to value based methods like Q learning that motivate the use of policy gradients.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Develop-Packt%2FIntroduction-to-Policy-Based-Methods-for-Reinforcement-Learning
PURL: pkg:github/Develop-Packt/Introduction-to-Policy-Based-Methods-for-Reinforcement-Learning

Stars: 0
Forks: 1
Open issues: 11

License: mit
Language: Jupyter Notebook
Size: 2.4 MB
Dependencies parsed at: Pending

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

Topics: ai, policy-based, python, reinforcement-learning, tensorflow-2

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