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ICML
1995
IEEE
16 years 20 days ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
COLT
2003
Springer
15 years 5 months ago
A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria
A general class of no-regret learning algorithms, called no-Φ-regret learning algorithms, is defined which spans the spectrum from no-external-regret learning to no-internal-reg...
Amy R. Greenwald, Amir Jafari
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 3 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
EDCC
1999
Springer
15 years 4 months ago
A Fault Tolerant Clock Synchronization Algorithm for Systems with Low-Precision Oscillators
In this paper we present a new fault tolerant clock synchronization algorithm called the Fault Tolerant Daisy Chain algorithm. It is intended for internal clock synchronization of...
Henrik Lönn
CORR
2011
Springer
170views Education» more  CORR 2011»
14 years 3 months ago
A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement
— In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapid...
Sayed A. Hadei, Mojtaba Lotfizad