Neural Modeling of Hose Dynamics to Speedup Reinforcement Learning Experiments.

José Manuel López-Guede Manuel Graña

Published in: IWINAC (2) (2015)

Keyphrases

reinforcement learning
neural network
function approximation
network architecture
recurrent networks
physical processes
orders of magnitude
dynamical systems
learning problems
optimal control
reinforcement learning algorithms
robotic control