358 search results - page 5 / 72 » Online Testing with Reinforcement Learning |
JSAC
2010
14 years 10 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
NIPS
1998
15 years 28 days ago
1998
AMAI
2010
Springer
14 years 9 months ago
2010
Springer
163
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ICAART
2010
INSTICC
15 years 8 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
CORR
2010
Springer
14 years 11 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 ...