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GitHub / Alberto-00 / Super-Mario-Bros-AI

The following project concerns the development of an intelligent agent for the famous game produced by Nintendo Super Mario Bros. More in detail: the goal of this project was to design, implement and train an agent with the Q-learning reinforcement learning algorithm.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alberto-00%2FSuper-Mario-Bros-AI

Stars: 1
Forks: 0
Open Issues: 0

License: None
Language: Python
Repo Size: 28.3 MB
Dependencies: 136

Created: 7 months ago
Updated: about 1 month ago
Last pushed: 6 months ago
Last synced: about 1 month ago

Commit Stats

Commits: 65
Authors: 3
Mean commits per author: 21.67
Development Distribution Score: 0.092
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Alberto-00/Super-Mario-Bros-AI

Topics: deep-neural-networks, double-deep-q-learning, double-deep-q-network, double-deep-q-networks, qlearning, qlearning-algorithm, reinforcement-learning, reinforcement-learning-agent, reinforcement-learning-algorithms, reinforcement-learning-environments, sarsa, sarsa-algorithm

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    Dependencies