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ICANN
2009
Springer
14 years 1 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
JSAC
2006
120views more  JSAC 2006»
13 years 7 months ago
A Tutorial on Cross-Layer Optimization in Wireless Networks
This tutorial paper overviews recent developments in optimization-based approaches for resource allocation problems in wireless systems. We begin by overviewing important results i...
Xiaojun Lin, Ness B. Shroff, R. Srikant
JAIR
2011
144views more  JAIR 2011»
13 years 2 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
NAACL
2001
13 years 8 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
NIPS
2001
13 years 8 months ago
The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay
Tangential hand velocity profiles of rapid human arm movements often appear as sequences of several bell-shaped acceleration-deceleration phases called submovements or movement un...
Michael Kositsky, Andrew G. Barto