397 search results - page 70 / 80 » Reinforcement Learning with Hierarchies of Machines |
AGI
2011
14 years 1 months ago
2011
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performe...
ATAL
2011
Springer
13 years 9 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
68
Voted
AI
2002
Springer
14 years 9 months ago
2002
Springer
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
80
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...