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ECML
2004
Springer
14 years 24 days 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
MST
2011
200views Hardware» more  MST 2011»
13 years 2 months ago
Performance of Scheduling Policies in Adversarial Networks with Non-synchronized Clocks
In this paper we generalize the Continuous Adversarial Queuing Theory (CAQT) model [5] by considering the possibility that the router clocks in the network are not synchronized. W...
Antonio Fernández Anta, José Luis L&...
APSEC
2005
IEEE
14 years 1 months ago
Ontology-based Active Requirements Engineering Framework
Software-intensive systems are systems of systems that rely on complex interdependencies among themselves as well as with their operational environment to satisfy the required beh...
Seok Won Lee, Robin A. Gandhi
IVA
2007
Springer
14 years 1 months ago
Incremental Multimodal Feedback for Conversational Agents
Just like humans, conversational computer systems should not listen silently to their input and then respond. Instead, they should enforce the speaker-listener link by attending ac...
Stefan Kopp, Thorsten Stocksmeier, Dafydd Gibbon
FOGA
2011
12 years 11 months ago
On the movement of vertex fixed points in the simple GA
The Vose dynamical system model of the simple genetic algorithm models the behavior of this algorithm for large population sizes and is the basis of the exact Markov chain model. ...
Alden H. Wright, Tomás Gedeon, J. Neal Rich...