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ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 11 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
112
Voted
ICRA
2005
IEEE
126views Robotics» more  ICRA 2005»
15 years 10 months ago
Global A-Optimal Robot Exploration in SLAM
— It is well-known that the Kalman filter for simultaneous localization and mapping (SLAM) converges to a fully correlated map in the limit of infinite time and data [1]. Howev...
Robert Sim, Nicholas Roy
ECML
2005
Springer
15 years 10 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
139
Voted
GLOBECOM
2009
IEEE
15 years 8 months ago
Stochastic Resource Allocation over Fading Multiple Access and Broadcast Channels
In this paper, we consider the optimal rate and power allocation that maximizes a general utility function of average user rates in a fading multiple-access or broadcast channel. B...
Na Gao, Xin Wang
CIDR
2007
116views Algorithms» more  CIDR 2007»
15 years 6 months ago
Managing Query Compilation Memory Consumption to Improve DBMS Throughput
While there are known performance trade-offs between database page buffer pool and query execution memory allocation policies, little has been written on the impact of query compi...
Boris Baryshnikov, Cipri Clinciu, Conor Cunningham...