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 (3 years ago)

Commits 51 (last one 7 months ago)

Stargazers 837 (55 this week)

Watchers 9 (-1 this week)

Forks 148

License mit

Ranking

RepositoryStats indexes 627,954 repositories, of these reiniscimurs/DRL-robot-navigation is ranked #62,548 (90th percentile) for total stargazers, and #217,028 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #10,025/127,702.

reiniscimurs/DRL-robot-navigation is also tagged with popular topics, for these it's ranked: deep-learning (#1,512/8774), reinforcement-learning (#210/1428), ros (#62/789), deep-reinforcement-learning (#71/377)

Other Information

reiniscimurs/DRL-robot-navigation has Github issues enabled, there are 39 open issues and 131 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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20 commits on the default branch (main) since jan '22

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updated: 2025-03-14 @ 08:19pm, id: 420946327 / R_kgDOGRchlw