50 search results - page 5 / 10 » Learning to Drive a Bicycle Using Reinforcement Learning and... |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
UAI
2008
13 years 8 months ago
2008
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...