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GitHub / Neill-Erasmus / lunar-lander
Trained a Deep Q-Learning agent to autonomously land a lunar module in OpenAI's Gymnasium Lunar Lander environment.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Neill-Erasmus%2Flunar-lander
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 119 KB
Dependencies:
0
Created: 5 months ago
Updated: 5 months ago
Last pushed: 4 months ago
Last synced: 3 months ago
Topics: artificial-intelligence, artificial-neural-networks, deep-learning, deep-neural-networks, deep-reinforcement-learning, deepq-learning, pytorch, qlearning, reinforcement-learning, reinforcement-learning-algorithms
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