1270 search results - page 144 / 254 » Dogged Learning for Robots |
NN
1998
Springer
13 years 9 months ago
1998
Springer
This paper presents our approach towards realizing a robot which can bootstrap itself towards higher complexity through embodied interaction dynamics with the environment includin...
ICRA
2010
IEEE
13 years 8 months ago
2010
IEEE
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
ROBOCUP
2007
Springer
14 years 4 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...