Title: Forks · razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS · GitHub
Open Graph Title: Forks · razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS
X Title: Forks · razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS
Description: This repository contains the simulation source code for implementing reinforcement learning aglorithms for autonomous navigation of ardone in indoor environments. Gazebo is the simulated environment that is used here - Forks · razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS
Open Graph Description: This repository contains the simulation source code for implementing reinforcement learning aglorithms for autonomous navigation of ardone in indoor environments. Gazebo is the simulated environmen...
X Description: This repository contains the simulation source code for implementing reinforcement learning aglorithms for autonomous navigation of ardone in indoor environments. Gazebo is the simulated environmen...
Opengraph URL: https://github.com/razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS
X: @github
Domain: github.com
| route-pattern | /:user_id/:repository/forks(.:format) |
| route-controller | forks_forks |
| route-action | index |
| fetch-nonce | v2:73980ebc-c588-a50c-0bf0-0e16ed14042d |
| current-catalog-service-hash | b4d8436665c5448282b6f4eacc6394e6e8801de97cb226acdca9da20ae59be92 |
| request-id | B3AC:2202AD:22EC14F:31EAA50:6A4BE97D |
| html-safe-nonce | 2f2537fb7e6ddb5fb90e66572287da3af2d4ebfd79d1c1e5a30820c502f75d0d |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCM0FDOjIyMDJBRDoyMkVDMTRGOjMxRUFBNTA6NkE0QkU5N0QiLCJ2aXNpdG9yX2lkIjoiNjE4Nzc1ODY2MzU3NjA1NDE0MSIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9 |
| visitor-hmac | f74ca87c1eee27a5bf1410d9e966e20696082d29389c1265e5d5f41cd575e994 |
| hovercard-subject-tag | repository:349768329 |
| github-keyboard-shortcuts | repository,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS/forks |
| twitter:image | https://opengraph.githubassets.com/576ca543ff4f619463d47c5e25ff85e92f546091659e3856fb9ba7766e6be9ef/razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/576ca543ff4f619463d47c5e25ff85e92f546091659e3856fb9ba7766e6be9ef/razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS |
| og:image:alt | This repository contains the simulation source code for implementing reinforcement learning aglorithms for autonomous navigation of ardone in indoor environments. Gazebo is the simulated environmen... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 0f5d3ba365b3985d75c32a5957c8635488d58dcf027ae6ae958eee7edaa306a2 |
| turbo-cache-control | no-preview |
| go-import | github.com/razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS git https://github.com/razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS.git |
| octolytics-dimension-user_id | 55836233 |
| octolytics-dimension-user_login | razainno |
| octolytics-dimension-repository_id | 349768329 |
| octolytics-dimension-repository_nwo | razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 349768329 |
| octolytics-dimension-repository_network_root_nwo | razainno/UAVs_Q_learning_algorithm-for-drone-using-ROS |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | f24da9b76b42d77b0bb458f810509565e9ba5f1a |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width