387 search results - page 22 / 78 » Improving Reinforcement Learning by Using Case Based Heurist... |
73
Voted
AAAI
2007
14 years 12 months ago
2007
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
123
click to vote
IWCLS
2007
Springer
15 years 3 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
CGO
2009
IEEE
15 years 4 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
54
Voted
DATE
1997
IEEE
15 years 1 months ago
1997
IEEE
List scheduling algorithms attempt to minimize latency under resource constraints using a priority list. We propose a new heuristic that can be used in conjunction with any priori...