499 search results - page 40 / 100 » Model Minimization in Markov Decision Processes |
ECBS
2009
IEEE
14 years 3 months ago
2009
IEEE
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
NIPS
2007
13 years 10 months ago
2007
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
ICC
2007
IEEE
14 years 3 months ago
2007
IEEE
We consider opportunistic spectrum access for secondary users over multiple channels whose occupancy by primary users is modeled as discrete-time Markov processes. Due to hardware...
ICAI
2009
13 years 6 months ago
2009
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
UAI
2000
13 years 10 months ago
2000
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might ap...