Data

Tools

Indexes

Applications

Experiments

Open Source Science

drone_ppo

https://github.com/lyphucthanh1010/drone_ppo

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: lyphucthanh1010
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 19.3 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Control drone in gym-pybullet-drones using ppo

Hovering a quacopter with some predefined position using gym-pybullet-drones env with PPO algorithm from PPO-PyTorch

30/12/2023 Update training result

28/12/2023 Init commit

  • Change reward function, compute terminate
Hover at (0, 0, 1) position

alt text

Hover at (0, 1, 1) position

alt text

How to use

  • Follow author's guide to install gym-pybullet-drones environment
  • Training python train_ppo.py
  • Test pretrained model python test_ppo.py

References

  • https://github.com/utiasDSL/gym-pybullet-drones/
  • https://github.com/nikhilbarhate99/PPO-PyTorch
  • Schulman, John, et al. "Proximal policy optimization algorithms." arXiv preprint arXiv:1707.06347 (2017).

Owner

  • Name: Lý Phúc Thành
  • Login: lyphucthanh1010
  • Kind: user

Lý Phúc Thành - 10/10/2002 Student at University of Information and Technology Email: phucthanhly1010@gmail.com Student Email: 20521916@gm.uit.edu.vn

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: article
  authors:
  - family-names: "Panerati"
    given-names: "Jacopo"
    orcid: "https://orcid.org/0000-0003-2994-5422"
  - family-names: "Zheng"
    given-names: "Hehui"
    orcid: "https://orcid.org/0000-0002-4977-0220"
  - family-names: "Zhou"
    given-names: "SiQi"
  - family-names: "Xu"
    given-names: "James"
  - family-names: "Prorok"
    given-names: "Amanda"
    orcid: "https://orcid.org/0000-0001-7313-5983"
  - family-names: "Schoellig"
    given-names: "Angela P."
    orcid: "https://orcid.org/0000-0003-4012-4668"
  doi: "10.0000/00000"
  journal: "2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)"
  month: 1
  start: 1 # First page number
  end: 8 # Last page number
  title: "Learning to Fly---a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control"
  issue: 1
  volume: 1
  year: 2021

GitHub Events

Total
Last Year

Dependencies

.github/workflows/push.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
.github/workflows/release.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
  • pypa/gh-action-pypi-publish master composite
pyproject.toml pypi
  • gymnasium ^0.28
  • matplotlib ^3.7
  • numpy ^1.24
  • pybullet ^3.2.5
  • pytest ^7.3
  • python ^3.10
  • scipy ^1.10
  • stable-baselines3 ^2.0.0
  • transforms3d ^0.4.1