MineDojo: A Framework for Building Generalized Autonomous Agents

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Artificial Intelligence

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MineDojo: A Framework for Building Generalized Autonomous Agents

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

We introduce minedojo, a new framework built on the popular minecraft game that features a simulation suite with thousands of diverse open-ended tasks and an internet-scale knowledge base with minecraft videos, tutorials, wiki pages, and forum discussions.

Using minedojo s data, we propose a novel agent learning algorithm that leverages large pre-trained video-language models as a learned reward function.

Our agent is able to solve a variety of open-ended tasks specified in free-form language without any manually designed dense shapingreward.

Authors

Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar

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