190 search results - page 35 / 38 » An Incremental Sampling-based Algorithm for Stochastic Optim... |
96
Voted
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
79
Voted
INFOCOM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Peer-assisted Video-on-Demand (VoD) systems have not only received substantial recent research attention, but also been implemented and deployed with success in large-scale real...
UAI
2008
14 years 11 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
NIPS
1998
14 years 11 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
92
Voted
MOBICOM
2003
ACM
15 years 2 months ago
2003
ACM
We develop algorithms for finding minimum energy disjoint paths in an all-wireless network, for both the node and linkdisjoint cases. Our major results include a novel polynomial...