1325 search results - page 32 / 265 » Algorithm Selection using Reinforcement Learning |
130
Voted
ATAL
2004
Springer
15 years 7 months ago
2004
Springer
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
128
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
156
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KES
1998
Springer
15 years 6 months ago
1998
Springer
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
134
Voted
ICRA
2009
IEEE
15 years 8 months ago
2009
IEEE
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
99
Voted
KDD
2010
ACM
15 years 6 months ago
2010
ACM
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...