62 search results - page 5 / 13 » Probabilistic inference for solving discrete and continuous ... |
ICML
1996
IEEE
13 years 11 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a methodology for the real time alignment of music signals using sequential Montecarlo inference techniques. The alignment problem is formulated as the state tracking o...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
AAAI
2007
13 years 9 months ago
2007
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
QEST
2005
IEEE
14 years 1 months ago
2005
IEEE
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...