A physical simulation model in a testing playground

We’re excited to announce the release of “EvoX v1.2.0”, packed with new features, improvements, and important bug fixes!

This update enhances the framework’s flexibility and performance across key modules.

Highlights

  • Added final_step() and updated hpo_wrapper and std_workflow for smoother execution workflows.

  • Introduced the “Mujoco Playground” – a new environment for reinforcement learning experiments.

  • Released a brand-new tutorial to help users get up to speed quickly.

  • Added new EvoX extension functions, enabling better integration with sister projects like EvoMO.

  • Various bug fixes and documentation updates for better stability and clarity.

  • Docstring updates for MOEAs – #230 (@Zhenyu2Liang)

  • vmap fix in hpo_wrapper.py – #232 (@starquakee)

  • Added RVEAa and improved DTLZ, IGD, RVEA support – #231 (@XU-Boqing)

  • final_step() updates in workflow modules – #233 (@XU-Boqing)

  • Mujoco Playground environment – #234 (@Nam-dada)

  • Documentation refinements – #235 (@Zhenyu2Liang)

  • Bug fixes for Mujoco Playground – #236 (@Nam-dada)

  • New user tutorial – #237 (@BillHuang2001)

Full Changelog: v1.1.2…v1.2.0

Resources

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