v1.2.0

🎉 EvoX v1.2.0 Release! 🎉

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.

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Related pull requests

• Update Docstring of MOEAs by @Zhenyu2Liang in #230
• Fix the vmap used in the hpo_wrapper.py by @starquakee in #232
• Add RVEAa and final_step, and modify DTLZ, IGD and RVEA by @XU-Boqing in #231
• Update hpo_wrapper and std_workflow (final_step()) by @XU-Boqing in #233
• Add mujoco_playground problem. by @Nam-dada in #234
• Update docstring by @Zhenyu2Liang in #235
• Fix bugs of mujoco_playground by @Nam-dada in #236
• Tutorial by @BillHuang2001 in #237

🔗 Full Changelog: v1.1.2 → v1.2.0