CORDIS Project
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This project aims to develop advanced decision-making methods for autonomous agents, enhancing their efficiency in diverse applications like robotics and software. It focuses on optimizing both the agents' policies and the evaluation processes to improve performance in complex tasks.
I propose to develop a new class of decision-theoretic planning methods that overcome fundamental obstacles to the efficient optimization of autonomous agents.
Creating agents that are effective in diverse settings is a key goal of artificial intelligence with enormous potential implications: robotic agents would be invaluable in homes, factories, and high-risk settings; software agents could revolutionize e-commerce, information retrieval, and traffic control.The main challenge lies in specify…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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