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His research interests are in the area of Artificial Intelligence (AI), focusing on automated planning and autonomous systems, as well as integration of planning and reinforcement learning techniques.
Michael's tools for automated planning (also known as planners) has won numerous awards. Among them Delfi, the winner of the cost-optimal track of the International Planning Competition (IPC) 2018 and Mercury, the runner-up of the satisficing track of the International Planning Competition (IPC) 2014.
Michael's tools for automated planning (also known as planners) has won numerous awards. Among them Delfi, the winner of the cost-optimal track of the International Planning Competition (IPC) 2018 and Mercury, the runner-up of the satisficing track of the International Planning Competition (IPC) 2014.
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arxiv(2024)
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AAAI 2024no. 18 (2024): 20256-20264
AAAI 2024no. 21 (2024): 23775-23777
arxiv(2024)
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AAAI 2024no. 21 (2024): 23604-23605
ICAPSno. 1 (2023): 42-51
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