Abstract-- We propose an algorithm for decentralised navigation of multiple independent agents, applicable to Robotics and Air Traffic Control (ATC). We present completely decentra...
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...
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...
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
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...