Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
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Bumps ruff from 0.5.2 to 0.5.3.
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Changelog
Sourced from ruff's changelog.
Commits
f0d589d
Provide custom job permissions tocargo-dist
(#12386)512c8b2
Provide contents read permission to wasm publish job (#12384)811f78d
[red-knot] small efficiency improvements and bugfixes to use-def map building...8f1be31
Update 0.5.3 changelog caption (#12383)8cfbac7
Bump version to 0.5.3 (#12381)9460857
Migrate to standalone docs repo (#12341)a028ca2
Add VS Code specific extension settings (#12380)7953f6a
Update versioning policy for editor integration (#12375)764d9ab
Allowrepeated-equality-comparison
for mixed operations (#12369)9b9d701
Allow additional arguments for sum and max comprehensions (#12364)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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