GitHub / Iyanuoluwa-vic / Learning-Paths-Using-Reinforcement-Learning-AlphaZero
An agent-based system which over several iterations explores and learns an initially unknown environment, a five by five grid consisting of three different types of spaces, normal locations, pickup locations, and drop off locations.
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PURL: pkg:github/Iyanuoluwa-vic/Learning-Paths-Using-Reinforcement-Learning-AlphaZero
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 1.31 MB
Dependencies parsed at: Pending
Created at: about 3 years ago
Updated at: about 3 years ago
Pushed at: about 3 years ago
Last synced at: over 2 years ago
Topics: alpha-zero, artficial-intelligence, experiment, machine-learning, python, q-learning-algorithm