# young-how/DQN-based-UAV-3D\_path\_planer

<https://repo.masters-masters.com/en/repos/young-how/DQN-based-UAV-3D_path_planer>

[Home](https://repo.masters-masters.com/en) › [young-how](https://repo.masters-masters.com/en/owners/young-how) › [DQN-based-UAV-3D\_path\_planer](https://repo.masters-masters.com/en/repos/young-how/DQN-based-UAV-3D_path_planer)

young-how/DQN-based-UAV-3D\_path\_planer has 568 stars on GitHub. Its RepoMasters card: Alpha tier. RLGF is a general training framework suitable for UAV deep…

| Field | Value |
| --- | --- |
| Owner | [young-how](https://repo.masters-masters.com/en/owners/young-how) |
| Stars | 568 |
| Forks | 57 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [young-how/DQN-based-UAV-3D\_path\_planer](https://github.com/young-how/DQN-based-UAV-3D_path_planer) |

## Repository

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).

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.