GitHub / robertyoung2 / Train-a-Smartcab-to-Drive
Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modelling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
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PURL: pkg:github/robertyoung2/Train-a-Smartcab-to-Drive
Stars: 1
Forks: 3
Open issues: 0
License: None
Language: HTML
Size: 346 KB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: almost 7 years ago
Pushed at: over 7 years ago
Last synced at: over 2 years ago
Topics: machine-learning, nanodegree, reinforcement-learning, smartcab, udacity, udacity-machine-learning-nanodegree