Steven I. Marcus – författare

Visar alla böcker från författaren Steven I. Marcus. Handla med fri frakt och snabb leverans.

5 produkter

1. 

   Simulation-Based Algorithms for Markov Decision Processes

   Av Hyeong Soo Chang, Jiaqiao Hu m. fl.

   Inbunden, 2013

   1096 kr

   Lägg i varukorg

   Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of …

2. 

   Simulation-Based Algorithms for Markov Decision Processes

   Av Steven I. Marcus, Michael C. Fu m. fl.

   E-bok, 2013

   1459 kr

   Lägg i varukorg

   Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of …

3. 

   Simulation-Based Algorithms for Markov Decision Processes

   Av Hyeong Soo Chang, Jiaqiao Hu m. fl.

   Häftad, 2015

   1096 kr

   Lägg i varukorg

   Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of …

4. 

   Simulation-based Algorithms for Markov Decision Processes

   Av Steven I. Marcus, Jiaqiao Hu m. fl.

   E-bok, 2007

   1491 kr

   Lägg i varukorg

   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 …

5. 

   Simulation-based Algorithms for Markov Decision Processes

   Av Hyeong Soo Chang, Michael C. Fu m. fl.

   Häftad, 2010

   1521 kr

   Tillfälligt slut

   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 …