SciSharp/Gym.NET
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.
This toolkit helps you design and test reinforcement learning algorithms for C# applications. It provides a set of standardized simulation environments, like the classic "CartPole" task, where you can train an AI agent. You provide your C# reinforcement learning code, and it lets you observe how your agent learns and interacts within these environments, providing a structured way to evaluate and compare different learning strategies. This is for C# developers working on AI and machine learning projects.
140 stars. No commits in the last 6 months.
Use this if you are a C# developer looking to experiment with, build, and benchmark reinforcement learning algorithms using pre-built or custom simulation environments.
Not ideal if you are not a C# developer or if your primary focus is on applying existing, pre-trained reinforcement learning models rather than developing new ones.
Stars
140
Forks
19
Language
C#
License
Apache-2.0
Category
Last pushed
Apr 15, 2024
Commits (30d)
0
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