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ECML
2005
Springer
14 years 29 days ago
Towards Finite-Sample Convergence of Direct Reinforcement Learning
Abstract. While direct, model-free reinforcement learning often performs better than model-based approaches in practice, only the latter have yet supported theoretical guarantees f...
Shiau Hong Lim, Gerald DeJong
EVOW
2005
Springer
14 years 29 days ago
Artificial Life, Death and Epidemics in Evolutionary, Generative Electronic Art
This paper explores strategies for slowing the onset of convergence in an evolving population of agents. The strategies include the emergent maintenance of separate agent sub-popul...
Alan Dorin
AE
2005
Springer
14 years 1 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
ICML
2001
IEEE
14 years 8 months ago
Convergence of Gradient Dynamics with a Variable Learning Rate
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
Michael H. Bowling, Manuela M. Veloso
MOC
2002
107views more  MOC 2002»
13 years 7 months ago
Convergence of the shifted QR algorithm for unitary Hessenberg matrices
This paper shows that for unitary Hessenberg matrices the QR algorithm, with (an exceptional initial-value modification of) the Wilkinson shift, gives global convergence; moreover,...
Tai-Lin Wang, William B. Gragg