UoA-CARES/cares_reinforcement_learning
CARES Reinforcement Learning Package
This tool helps researchers and AI practitioners efficiently develop and test reinforcement learning models for a wide range of simulated environments, from robotics to game AI. It takes raw environment data and a chosen algorithm as input, and outputs trained models and performance metrics. Anyone working on AI agent behavior for tasks like autonomous navigation or game playing can benefit from this.
Use this if you need a flexible way to experiment with and evaluate different reinforcement learning algorithms across various simulation environments, without having to re-implement core logic each time.
Not ideal if you are looking for a pre-trained, production-ready AI solution or a no-code tool for existing business applications.
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Language
Python
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Last pushed
Mar 11, 2026
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