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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 8 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
ICDE
1999
IEEE
143views Database» more  ICDE 1999»
15 years 11 months ago
Query Routing in Large-Scale Digital Library Systems
Modern digital libraries require user-friendly and yet responsive access to the rapidly growing, heterogeneous, and distributed collection of information sources. However, the inc...
Ling Liu
ACSAC
2005
IEEE
15 years 3 months ago
Exploiting Independent State For Network Intrusion Detection
Network intrusion detection systems (NIDSs) critically rely on processing a great deal of state. Often much of this state resides solely in the volatile processor memory accessibl...
Robin Sommer, Vern Paxson
INTERNET
2008
150views more  INTERNET 2008»
14 years 10 months ago
Convenience Over Correctness
ion. First described in RFC 707,1 with implementation approaches and details later provided by Andrew Birrell and Bruce Nelson,2 RPC has influenced distributed systems research and...
Steve Vinoski