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 3 months ago)

Stargazers 606 (3 this week)

Watchers 8 (0 this week)

Forks 121

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Ranking

RepositoryStats indexes 579,555 repositories, of these reiniscimurs/DRL-robot-navigation is ranked #77,817 (87th percentile) for total stargazers, and #244,081 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #12,475/115,123.

reiniscimurs/DRL-robot-navigation is also tagged with popular topics, for these it's ranked: deep-learning (#1,811/8344), reinforcement-learning (#254/1296), ros (#83/739), deep-reinforcement-learning (#84/362)

Other Information

reiniscimurs/DRL-robot-navigation has Github issues enabled, there are 34 open issues and 128 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: 2024-11-06 @ 02:33pm, id: 420946327 / R_kgDOGRchlw