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young-how

DQN-based-UAV-3D_path_planer

RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, DDPG).

Model DevelopmentReinforcement LearningPython
Open on GitHub
Momentum
+1stars in 24 hours+0.2%
567
Stars
57
Forks
+1
This week
2
Contributors
Created 2022-08-12 · Updated 2026-10-15 · #6723 today
Top developers
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young-how/DQN-based-UAV-3D_path_planer is ranked 6,723 with 567 stars.

Same-category comparison

young-how/DQN-based-UAV-3D_path_planer is ranked 6,723 among these 8 peers; NVlabs/RoboLab is ranked 6,724.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryModel Development
SubcategoryReinforcement Learning
KeywordsAutonomous vehicles, RL
Stars567
Forks57
Contributors2
Created date2022-08-12
Updated date2026-10-15
Stars in 1 day1
Stars in 7 days1
Rank6,723
Previous rank16,703
Rank change9,980
7-day stars rank11,321
Previous 7-day stars rank15,808
7-day stars rank change4,487
Total stars rank17,552
Previous total stars rank17,561
Total stars rank change9
CountryChina
Frequently asked questions

How many stars and forks are recorded?

young-how/DQN-based-UAV-3D_path_planer has 567 stars and 57 forks.

What is the repository rank?

young-how/DQN-based-UAV-3D_path_planer is ranked 6,723.

What language and category are recorded?

young-how/DQN-based-UAV-3D_path_planer has 567 stars, uses Python and belongs to Model Development.

Which repository is closest in rank?

young-how/DQN-based-UAV-3D_path_planer is compared with NVlabs/RoboLab, ranked 6,724 with 566 stars.

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