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ECML
2004
Springer
15 years 6 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
125
Voted
3DPVT
2002
IEEE
193views Visualization» more  3DPVT 2002»
15 years 5 months ago
Modeling shapes and textures from images: new frontiers
Increasingly, models of the world are directly built from images. The paper discusses a number of recent developments that try to push the enveloppe of what image-based modeling c...
Luc J. Van Gool, D. Vandemeulen, Gregor A. Kalbere...
MVA
1990
162views Computer Vision» more  MVA 1990»
15 years 1 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
77
Voted
ER
2004
Springer
79views Database» more  ER 2004»
15 years 6 months ago
Multi-phase Process Mining: Building Instance Graphs
Abstract. Deploying process-driven information systems is a time-consuming and error-prone task. Process mining attempts to improve this by automatically generating a process model...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
ATAL
2007
Springer
15 years 4 months ago
Determining confidence when integrating contributions from multiple agents
Integrating contributions received from other agents is an essential activity in multi-agent systems (MASs). Not only must related contributions be integrated together, but the co...
Raphen Becker, Daniel D. Corkill