skrl
بواسطة Toni-SM
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
من ملف README
SKRL - Reinforcement Learning library Documentation: https://skrl.readthedocs.io Description: skrl is an open-source modular library for Reinforcement Learning written in Python (implemented in PyTorch, JAX and NVIDIA Warp) and designed with a focus on modularity, readability, simplicity, and transparency of algorithm implementation. In addition to supporting OpenAI Gym, Farama Gymnasium and PettingZoo, ManiSkill, among other environment interfaces, it allows loading and configuring NVIDIA Isaac Lab and MuJoCo Playground environments, enabling agents' simultaneous…
مقتطف من ملف README الخاص بالمشروع على GitHub.
المهارات
مشروع مفتوح المصدر — استكشف الشيفرة واستضِفه ذاتيًا من GitHub.