Markov decisions in urban modelling
โ Scribed by E.J. Beltrami
- Book ID
- 103644650
- Publisher
- Elsevier Science
- Year
- 1981
- Weight
- 756 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0270-0255
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## SUMMARY For a Markov reward process, where upper and lower bounds for the transition rates and rewards are known, a new approach to bound the expected reward is presented. Based on a previous paper where sharp bounds have been defined for the problem, but only an inefficient and unstable algorit
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for solving them run in time polynomial in the size of the state space, where this size is extremely large for most real-world