Patrik Haslum

Patrik Haslum is an Associate Professor HDR Co-Convener Intelligent Systems at the Australian National University's School of Computing. His research focuses on AI planning, particularly plan quality optimisation, and optimisation for decision support. He supervises student projects related to AI planning, including story planning, optimal troubleshooting, and policy validation for MDPs. Haslum has authored a book on PDDL and contributed to tutorials on planning domains and problems. His publications and resources are available through his Google Scholar profile, dblp entry, and personal website.

Patrik Haslum is a researcher at the Australian National University, specializing in automated planning. His work focuses on developing efficient algorithms and heuristics for planning tasks, particularly in the context of optimal and numeric planning. He has contributed significantly to the field through publications on admissible heuristics, domain-independent planning, and the use of abstraction techniques to improve planning efficiency. His research also explores the integration of time and resource constraints into planning systems, as well as the application of SMT solvers for handling complex numeric planning problems. Haslum's work has been influential in advancing the state of the art in automated planning, particularly through the development of PDDL3 and experimental evaluations of planners.