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.
NumPy 1.26.4 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.3 release. The Python versions supported by
this release are 3.9-3.12. This is the last planned release in the
1.26.x series.
Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Charles Harris
Elliott Sales de Andrade
Lucas Colley +
Mark Ryan +
Matti Picus
Nathan Goldbaum
Ola x Nilsson +
Pieter Eendebak
Ralf Gommers
Sayed Adel
Sebastian Berg
Stefan van der Walt
Stefano Rivera
Pull requests merged
A total of 19 pull requests were merged for this release.
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Bumps numpy from 1.24.4 to 1.26.4.
Release notes
Sourced from numpy's releases.
... (truncated)
Commits
9815c16
Merge pull request #25770 from charris/prepare-1.26.4114ed25
REL: Prepare for the NumPy 1.26.4 release2fae4d3
Merge pull request #25323 from stefanor/import-asstrce89a0a
Merge pull request #25756 from charris/backport-24711f62dfc6
Merge pull request #25755 from charris/backport-25709fee88ab
BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711)659be68
MAINT: Include header defining backtrace837cd38
Merge pull request #25748 from rgommers/unvendor-mesonpythonf984240
CI: upgrade cibuildwheel from 2.16.4 to 2.16.5 [wheel build]3548f9d
BLD: unvendor meson-python [wheel build]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
@dependabot rebase
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