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 Research in Automated Planning
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Automated Planning is the computational process of generating a course of action for an agent to execute. As input a planner takes a description of the world (in some formal knowledge representation), a description of the available actions, and a description of the agent's objective function (e.g., a goal, reward function, and / or action costs). The planner's output may be a sequence of action (a "plan"), a branching tree of actions (a "contingent plan") or a function from world-state to actions (a "policy").

The computational complexity of planning depends on the expressiveness of the languages used to represent actions and goals, but even simple formulations are P-SPACE hard, and probabalistic representations render the problem much harder.

The Planning group at the University of Washington has been active in the development of planning algorithms and reprsentations since 1990. This website has more information about our research projects, publications, and more.


Computer Science & Engineering
University of Washington
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