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ICML
1994
IEEE
13 years 11 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
FASE
2010
Springer
13 years 11 months ago
A Process to Effectively Identify "Guilty" Performance Antipatterns
Abstract. The problem of interpreting the results of software performance analysis is very critical. Software developers expect feedbacks in terms of architectural design alternati...
Vittorio Cortellessa, Anne Martens, Ralf Reussner,...
3DOR
2008
13 years 10 months ago
Isometry-invariant Matching of Point Set Surfaces
Shape deformations preserving the intrinsic properties of a surface are called isometries. An isometry deforms a surface without tearing or stretching it, and preserves geodesic d...
Mauro R. Ruggeri, Dietmar Saupe
ATAL
2008
Springer
13 years 10 months ago
MB-AIM-FSI: a model based framework for exploiting gradient ascent multiagent learners in strategic interactions
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Doran Chakraborty, Sandip Sen
ATAL
2008
Springer
13 years 10 months ago
Physical parameter optimization in swarms of ultra-low complexity agents
Physical agents (such as wheeled vehicles, UAVs, hovercraft, etc.) with simple control systems are often sensitive to changes in their physical design and control parameters. As s...
Ryan Connaughton, Paul W. Schermerhorn, Matthias S...