Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation samples are available. For these settings, various sampling and population-based numerical algorithms for computing an optimal solution in terms of a policy and/or value function have been developed recently. Here, this state-of-the-art research is brought together in a way that makes it ...
Read More
Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation samples are available. For these settings, various sampling and population-based numerical algorithms for computing an optimal solution in terms of a policy and/or value function have been developed recently. Here, this state-of-the-art research is brought together in a way that makes it accessible to researchers of varying interests and backgrounds. Many specific algorithms, illustrative numerical examples and rigorous theoretical convergence results are provided. The algorithms differ from the successful computational methods for solving MDPs based on neuro-dynamic programming or reinforcement learning. The algorithms can be combined with approximate dynamic programming methods that reduce the size of the state space and ameliorate the effects of dimensionality.
Read Less
Add this copy of Simulation-based Algorithms for Markov Decision to cart. $139.97, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2010 by Springer London Ltd.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Contains: Illustrations, black & white. Communications and Control Engineering . XVIII, 189 p. 38 illus. Intended for professional and scholarly audience.
Add this copy of Simulation-based Algorithms for Markov Decision to cart. $157.05, new condition, Sold by Ria Christie Books rated 5.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2010 by Springer London Ltd.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. 189 p. Communications and Control Engineering . 10 Tables, black and white; 38 Illustrations, black and white; XVIII, 189 p. 38 illus. Intended for professional and scholarly audience.
Add this copy of Simulation-based Algorithms for Markov Decision to cart. $175.44, new condition, Sold by Booksplease rated 4.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2010 by Springer London Ltd.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Contains: Illustrations, black & white. Communications and Control Engineering . XVIII, 189 p. 38 illus. Intended for professional and scholarly audience.