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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License: None
Language: Python
Size: 1.31 MB
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Created at: almost 3 years ago
Updated at: almost 3 years ago
Pushed at: almost 3 years ago
Last synced at: about 2 years ago

Topics: alpha-zero, artficial-intelligence, experiment, machine-learning, python, q-learning-algorithm

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GitHub / Iyanuoluwa-vic / Learning-Paths-Using-Reinforcement-Learning-AlphaZero