OpenRL-Lab/openrl
Unified Reinforcement Learning Framework
This framework helps machine learning researchers and AI developers create intelligent agents that can learn and make decisions in complex environments. It takes in descriptions of tasks (like games or robotic control) and existing data, then outputs trained AI models capable of solving those tasks, whether for single agents or teams.
822 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are an AI researcher or developer building, testing, and comparing different reinforcement learning algorithms for a wide range of tasks, from game playing to robotics and natural language interactions.
Not ideal if you are looking for a plug-and-play solution for a specific problem without needing to understand or customize the underlying reinforcement learning algorithms.
Stars
822
Forks
80
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 06, 2024
Commits (30d)
0
Dependencies
17
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