rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
This collection provides clear, minimal code examples for reinforcement learning algorithms, starting from fundamental concepts and progressing to advanced deep reinforcement learning techniques. It takes basic problem definitions, like 'Grid World' rules or game states, and outputs a working implementation of a learning agent. This is for students, researchers, or anyone beginning to explore reinforcement learning and its applications.
3,621 stars. No commits in the last 6 months.
Use this if you are a developer looking for easily understandable, clean code examples to learn or teach reinforcement learning algorithms.
Not ideal if you need a production-ready library for deploying reinforcement learning solutions or a framework for complex research.
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Python
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MIT
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Mar 24, 2023
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