AlirezaShamsoshoara / Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task

A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach

Date Created 2020-10-30 (3 years ago)

Commits 30 (last one 3 years ago)

Stargazers 57 (0 this week)

Watchers 2 (0 this week)

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RepositoryStats indexes 523,840 repositories, of these AlirezaShamsoshoara/Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task is ranked #390,061 (26th percentile) for total stargazers, and #442,567 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #71,903/100,813.

AlirezaShamsoshoara/Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task is also tagged with popular topics, for these it's ranked: ai (#2,123/2983), reinforcement-learning (#907/1166), drone (#107/142), uav (#88/117)

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All Topics

ai uav marl drone spectrum wildfire qlearning-algorithm reinforcement-learning multiagent-reinforcement-learning

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updated: 2024-05-31 @ 05:12pm, id: 308752309 / R_kgDOEmcvtQ