mimoralea/gdrl
Grokking Deep Reinforcement Learning
This project offers a practical coding environment to explore and understand deep reinforcement learning algorithms. It provides pre-configured code examples that illustrate concepts and techniques from the "Grokking Deep Reinforcement Learning" book. Researchers and students in AI or machine learning fields can use this to run experiments and observe how various reinforcement learning agents learn to make decisions.
1,005 stars. No commits in the last 6 months.
Use this if you are studying deep reinforcement learning and want to run working code examples for different algorithms, such as Q-Learning or Policy Gradients, in a ready-to-use environment.
Not ideal if you are looking for a high-level API to build production-ready reinforcement learning applications without needing to understand the underlying algorithmic details.
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Jupyter Notebook
License
BSD-3-Clause
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Last pushed
Feb 04, 2022
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