NatLabRockies/graph-env
Reinforcement learning for combinatorial optimization over directed graphs
This library helps machine learning engineers or researchers working on complex optimization problems to define and solve graph search problems more effectively. It takes your graph search problem description and allows you to apply reinforcement learning algorithms to find optimal paths or configurations. This is ideal for those developing AI models that navigate intricate networks or make sequential decisions.
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Use this if you are a machine learning engineer or researcher designing reinforcement learning solutions for problems that can be modeled as searching through a directed graph.
Not ideal if you are looking for a pre-built solution for a specific graph problem and are not planning to implement a custom reinforcement learning environment.
Stars
43
Forks
10
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jun 21, 2023
Commits (30d)
0
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