18 search results - page 3 / 4 » Global Reinforcement Learning in Neural Networks with Stocha... |
NN
2006
Springer
13 years 8 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
ML
2007
ACM
13 years 8 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
NN
2002
Springer
13 years 8 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
PPSN
2004
Springer
14 years 1 months ago
2004
Springer
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...