A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
M. G. Bellemare, Y. Naddaf, J. Veness, et al.
Introduces the Arcade Learning Environment (ALE), a platform and methodology for evaluating general, domain-independent AI agents across hundreds of Atari 2600 games.
Bella Xinrui Li, Frank Yingjie Huo, Neil F Johnson
This paper reveals that interacting AI agents can enter alien dynamical states absent in isolation, driven by one-way message streams, with implications for out-of-equilibrium physics.
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This paper describes research on AI agents embodied in the world, focusing on modeling and planning to enable these agents to act effectively.
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This chapter explores the economic implications of AI agents, arguing that traditional assumptions about human and AI behavior may not hold for future generations.
Luigi Sigillo, Matteo Silvestri, Francesco Tabaro, et al.
EMBL AI Librarian is a knowledge layer that lets AI agents query life-sciences literature in natural language and receive evidence, improving performance across multiple benchmarks.
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This paper explores ethical perspectives on AI Agents and Agentic AI, focusing on the implications of multi-agent systems.
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This paper provides a comprehensive guide to building agentic AI systems, covering frameworks, prompt engineering, and multi-agent orchestration for real-world applications.
Shanghua Gao, Ada Fang, Yepeng Huang, et al.
This paper introduces AI agents that decompose complex biomedical problems into subtasks, accelerating discovery workflows and improving resource efficiency.
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This paper provides a characterization of AI agents through profiles to support alignment and governance efforts.
Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
This review distinguishes AI Agents from Agentic AI, providing a taxonomy, application mapping, and analysis of challenges and solutions.
Bing Yan, Gregory Wolfe, Stefano Martiniani, et al.
AskChem is a claim-centered infrastructure for chemistry literature search that converts papers into atomic, provenance-carrying claims, enabling cross-paper synthesis and grounding AI agents.
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This paper provides a comprehensive survey of Agentic AI, covering architectures, applications, and future directions, contrasting AI agents with Agentic AI systems.