MimicKit is an open-source framework for training motion controllers using motion imitation and reinforcement learning. The codebase provides implementations of commonly-used motion-imitation techniques and RL algorithms. This framework is intended to support research and applications in computer graphics and robotics by providing a unified training framework, along with standardized environment, agent, and data structures. The codebase is designed to be modular and easily configurable, enabling convenient modification and extension to new characters and tasks. The open-source codebase is available at: https://github.com/xbpeng/MimicKit.

翻译：MimicKit是一个基于运动模仿与强化学习的开源运动控制器训练框架。该代码库提供了常用运动模仿技术与强化学习算法的实现。本框架旨在通过提供统一的训练框架及标准化的环境、智能体与数据结构，支持计算机图形学与机器人学领域的研究与应用。代码库采用模块化设计且易于配置，能够便捷地修改并扩展至新角色与新任务。开源代码库地址为：https://github.com/xbpeng/MimicKit。