LAO*: A heuristic search algorithm that finds solutions with loops
نویسندگان
چکیده
Classic heuristic search algorithms can find solutions that take the form of a simple path (A*), a tree, or an acyclic graph (AO*). In this paper, we describe a novel generalization of heuristic search, called LAO*, that can find solutions with loops. We show that LAO* can be used to solve Markov decision problems and that it shares the advantage heuristic search has over dynamic programming for other classes of problems. Given a start state, it can find an optimal solution without evaluating the entire state space. 2001 Elsevier Science B.V. All rights reserved.
منابع مشابه
Heuristic Search in Cyclic AND / OR
Heuristic search algorithms can nd solutions that take the form of a simple path (A*), a tree or an acyclic graph (AO*). We present a novel generalization of heuristic search (called LAO*) that can nd solutions with loops, that is, solutions that take the form of a cyclic graph. We show that it can be used to solve Markov decision problems without evaluating the entire state space, giving it an...
متن کاملHeuristic Search in Cyclic AND/OR Graphs
Heuristic search algorithms can find solutions that take the form of a simple path (A*), a tree or acyclic graph (AO*). We present a novel generalization of heuristic search (called LAO*) that can find solutions with loops, that is, solutions that take the form of a cyclic graph. We show that it can be used to solve Markov decision problems without evaluating the entire state space, giving it a...
متن کاملSolving Markov Decision Problems Using Heuristic Search
We describe a heuristic search algorithm for Markov decision problems, called LAO*, that is derived from the classic heuristic search algorithm AO*. LAO* shares the advantage heuristic search has over dynamic programming for simpler classes of problems: it can find optimal solutions without evaluating all problem states. The derivation of LAO* from AO* makes it easier to generalize refinements ...
متن کاملGravitational Search Algorithm to Solve the K-of-N Lifetime Problem in Two-Tiered WSNs
Wireless Sensor Networks (WSNs) are networks of autonomous nodes used for monitoring an environment. In designing WSNs, one of the main issues is limited energy source for each sensor node. Hence, offering ways to optimize energy consumption in WSNs which eventually increases the network lifetime is strongly felt. Gravitational Search Algorithm (GSA) is a novel stochastic population-based meta-...
متن کاملA Heuristic Search Algorithm for Markov Decision Problems
LAO* is a heuristic search algorithm for Markov decision problems that is derived from the classic heuristic search algorithm AO* (Hansen & Zilberstein 1998). It shares the advantage heuristic search has over dynamic programming for simpler classes of problems: it can nd optimal solutions without evaluating all problem states. In this paper , we show that the derivation of LAO* from AO* makes i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Artif. Intell.
دوره 129 شماره
صفحات -
تاریخ انتشار 2001