danijar/embodied
Fast reinforcement learning research
This project helps reinforcement learning researchers rapidly develop and test new AI agents. You provide your agent's logic and the environments it will interact with. The system then evaluates how well your agent learns and performs, allowing you to iterate on your research faster and at a larger scale. This is for AI researchers and practitioners focused on agent development and experimental evaluation.
No commits in the last 6 months. Available on PyPI.
Use this if you are an AI researcher building and evaluating new reinforcement learning agents and need a standardized, efficient framework for testing across various environments.
Not ideal if you are looking for pre-trained agents for a specific task or a simple library to apply existing reinforcement learning algorithms without developing new ones.
Stars
61
Forks
16
Language
Python
License
MIT
Category
Last pushed
Dec 07, 2024
Commits (30d)
0
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