A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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ActSWM introduces action-sensitive world models for long-horizon planning in open-world games, improving latent model-predictive control.
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This paper introduces ContextAgent, a proactive LLM agent that leverages open-world sensory perceptions to initiate tasks without explicit user instructions.
Jeremy Yang, Noah Yonack, Kathryn Zyskowski, et al.
First large-scale field study of general-purpose AI agent adoption, usage intensity, and use cases in open-world web environments.