Approximate dynamic programming for stochastic linear control problems on compact state spaces
2015
This paper addresses Markov Decision Processes over compact state and action spaces. We investigate the special case of linear dynamics and piecewise-linear and convex immediate costs for the average cost criterion. This model is very general and covers many interesting examples, for instance in inventory management. Due to the curse of dimensionality, the problem is intractable and optimal policies usually cannot be computed, not even for instances of moderate size.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
40
References
8
Citations
NaN
KQI