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GitHub / ShivankYadav / LunarLander-using-DQN

We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShivankYadav%2FLunarLander-using-DQN
PURL: pkg:github/ShivankYadav/LunarLander-using-DQN

Stars: 6
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 13.4 MB
Dependencies parsed at: Pending

Created at: about 5 years ago
Updated at: over 2 years ago
Pushed at: about 5 years ago
Last synced at: over 2 years ago

Topics: ai, artificial-intelligence-algorithms, dqn-pytorch, lunarlander-v2, neural-networks, openai-gym, python, reinforcement-learning-algorithms

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