280 search results - page 30 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
WSC
2008
15 years 5 days ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
AAAI
2004
14 years 11 months ago
2004
We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). The algorithm is a synthesis of dynamic programming for partially observable M...
CDC
2009
IEEE
14 years 7 months ago
2009
IEEE
We consider the problem of controlling a continuous-time linear stochastic system from a specification given as a Linear Temporal Logic (LTL) formula over a set of linear predicate...
TRANSCI
2002
14 years 9 months ago
2002
Vendor managed inventory replenishment is a business practice in which vendors monitor their customers' inventories, and decide when and how much inventory should be replenis...
CORR
2011
Springer
14 years 1 months ago
2011
Springer
Most work on wireless network throughput ignores the temporal correlation inherent to wireless channels because it degrades tractability. To better model and quantify the temporal...