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» On the Convergence of Bound Optimization Algorithms
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CDC
2010
IEEE
152views Control Systems» more  CDC 2010»
15 years 1 months ago
Completely decentralised navigation of multiple unicycle agents with prioritisation and fault tolerance
Abstract-- We propose an algorithm for decentralised navigation of multiple independent agents, applicable to Robotics and Air Traffic Control (ATC). We present completely decentra...
Giannis P. Roussos, Kostas J. Kyriakopoulos
EMMCVPR
2001
Springer
15 years 11 months ago
A Double-Loop Algorithm to Minimize the Bethe Free Energy
Recent work (Yedidia, Freeman, Weiss [22]) has shown that stable points of belief propagation (BP) algorithms [12] for graphs with loops correspond to extrema of the Bethe free ene...
Alan L. Yuille
ATAL
2008
Springer
15 years 8 months ago
Non-linear dynamics in multiagent reinforcement learning algorithms
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
Sherief Abdallah, Victor R. Lesser
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 6 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
TSP
2008
113views more  TSP 2008»
15 years 6 months ago
Avoiding Divergence in the Shalvi-Weinstein Algorithm
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the ShalviWeinstein algorithm (SWA). It is well-known that SWA presents a higher co...
Maria D. Miranda, Magno T. M. Silva, Victor H. Nas...