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Point-based value iteration methods are a class of effective algorithms for solving POMDP model. Although MDP-based algorithms such as FSVI can reduce the complexity and improve efficiency greatly by using the optimal strategy of the underlying MDP, the excessive randomness of these algorithms makes them not suitable for the realistic POMDP problems. A probabilistic greedy search value iteration algorithm...
Point-based value iteration methods are a class of effective algorithms for solving POMDP model. However, most of these algorithms explore the belief point set by single heuristic criterion, thus limit the effectiveness. A value iteration algorithm (HHVI) based on hybrid heuristic criteria for exploring belief points set is presented in the paper. HHVI maintains the upper and lower bounds on the value...
The exponential growth of the size of the search space has always been an obstacle to POMDP planning. Heuristics are often used to reduce the search space size and improve computational efficiency. As the advantage of the feature of POMDP problems should be taken into deeper consideration, we analyze the clustering feature of reachable space of POMDP problems and apply policy iteration based on this...
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