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 tox from 4.15.1 to 4.16.0.
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Commits
5646274release 4.16.0b12fa62[pre-commit.ci] pre-commit autoupdate (#3300)264d44fAddwindirto the default list ofpass_envvariables on Windows (#3303)698f1ddFix tests after new setuptools (#3299)cf8db09[pre-commit.ci] pre-commit autoupdate (#3286)a261614Fix two small documentation issues (#3297)8bf2fbdBump pypa/gh-action-pypi-publish from 1.8.14 to 1.9.0 (#3295)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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