Titlebook: Recent Advances in AI Planning; 4th European Confere Sam Steel,Rachid Alami Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 1

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Planning, learning, and executing in autonomous systems,ves describing a set of actions that will allow the autonomous system to achieve high utility (a similar concept to goals in high-level classical planning) in an unknown world. Execution deals with the interaction with the environment by application of planned actions and observation of resulting pe

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Bounded parameter Markov decision processes,ed by giving upper and lower bounds on transition probabilities and rewards (all the MDPs in the set share the same state and action space). BMDPs form an efficiently solvable special case of the already known class of MDPs with . (MDPIPs). Bounded parameter MDPs can be used to represent variation o

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