medipixel/rl_algorithms
Structural implementation of RL key algorithms
This is a collection of essential Reinforcement Learning (RL) algorithms for researchers to experiment with and build upon. It takes environmental observations and desired outcomes to train agents that can make optimal decisions or mimic expert behavior. Researchers and machine learning engineers working on advanced AI systems would use this to develop intelligent agents.
516 stars. No commits in the last 6 months.
Use this if you are a researcher or AI developer working with Reinforcement Learning and need a robust, frequently updated base of algorithms for your projects.
Not ideal if you are looking for a plug-and-play solution for a specific business problem, as this repository focuses on foundational algorithm implementations for research.
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516
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64
Language
Python
License
MIT
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Last pushed
Apr 08, 2023
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