Using Reinforcement Learning in Partial Order Plan Space
Description:
Partial order planning is an important approach that solves planning problems without completely specifying the orderings between the actions in the plan. This property provides greater flexibility in executing plans; hence making the partial order planners a preferred choice over other planning methodologies. However, in order to find partially ordered plans, partial order planners perform a search in plan space rather than in space of world states and an uninformed search in plan space leads …
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Date:
May 2006
Creator:
Ceylan, Hakan