szrlee/HyperAgent
The official code repo for HyperAgent algorithm published in ICML 2024.
HyperAgent helps machine learning researchers efficiently train intelligent agents for complex environments like Atari games. It takes raw game data and outputs highly performant decision-making policies with significantly less training data and computational resources compared to existing methods. This is ideal for researchers focused on reinforcement learning and artificial intelligence.
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Use this if you are a machine learning researcher or student looking to develop highly data- and computation-efficient reinforcement learning agents.
Not ideal if you are a practitioner looking for a ready-to-use, no-code AI solution for business problems, as this is a research implementation requiring programming skills.
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Language
Python
License
MIT
Category
Last pushed
Oct 21, 2024
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