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algorithms for information gathering problems involving one or more rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
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algorithms for problems related to information markets involving multiple rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
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the reasoning and code-generation capabilities of LLMs and SLMs. The research will design autonomous agentic workflows to tackle complex networking challenges, including real-time network optimization, protocol
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, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling
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external tools and memory components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cy- bersecurity, and autonomous
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://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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the advert will be removed once the position has been filled. As autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential
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. Competency in agentic AI and related application development, including experience designing, building, and deploying AI-driven systems such as LLM-based applications, autonomous agents, and intelligent