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arxiv:2510.13794

MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control

Published on Oct 15
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Abstract

MimicKit is an open-source framework combining motion imitation and reinforcement learning for training motion controllers in computer graphics and robotics.

AI-generated summary

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.

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