reiniscimurs / DRL-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Date Created 2021-10-25 (2 years ago)

Commits 48 (last one 10 months ago)

Stargazers 482 (7 this week)

Watchers 8 (0 this week)

Forks 97

License mit

Ranking

RepositoryStats indexes 534,551 repositories, of these reiniscimurs/DRL-robot-navigation is ranked #88,259 (83rd percentile) for total stargazers, and #236,072 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #14,167/103,470.

reiniscimurs/DRL-robot-navigation is also tagged with popular topics, for these it's ranked: deep-learning (#1,979/7827), reinforcement-learning (#278/1189), ros (#95/683), deep-reinforcement-learning (#96/337)

Other Information

reiniscimurs/DRL-robot-navigation has Github issues enabled, there are 20 open issues and 126 closed issues.

All Topics

ros td3 gazebo deep-learning robot-navigation obstacle-avoidance reinforcement-learning obstacle-avoidance-robot deep-reinforcement-learning

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17 commits on the default branch (main) since jan '22

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updated: 2024-06-28 @ 07:50am, id: 420946327 / R_kgDOGRchlw