111 search results - page 11 / 23 » Predictive State Representations: A New Theory for Modeling ... |
PODC
2009
ACM
14 years 8 months ago
2009
ACM
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
INFOCOM
1997
IEEE
13 years 11 months ago
1997
IEEE
Several types of network trafic have been shown to exhibit long-range dependence (LRD). In this work, we show that the busy period of an ATM system driven by a long-range dependen...
TROB
2010
13 years 2 months ago
2010
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
DAGSTUHL
2007
13 years 9 months ago
2007
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
TROB
2010
13 years 5 months ago
2010
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...