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134
Voted
SIGMOD
2002
ACM
16 years 3 months ago
2002
ACM
In environments where exact synchronization between source data objects and cached copies is not achievable due to bandwidth or other resource constraints, stale (out-of-date) cop...
112
Voted
CP
2003
Springer
15 years 9 months ago
2003
Springer
Incomplete decision algorithms can often solve larger problem instances than complete ones. The drawback is that one does not know whether the algorithm will finish soon, later, ...
128
Voted
AAAI
2000
15 years 5 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
118
Voted
CN
1999
15 years 3 months ago
1999
We describe Bro, a stand-alone system for detecting network intruders in real-time by passively monitoring a network link over which the intruder's traffic transits. We give ...
147
Voted
ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...