878 search results - page 3 / 176 » Learning to Control in Operational Space |
90
Voted
IJRR
2008
14 years 11 months ago
2008
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
ICRA
1998
IEEE
15 years 3 months ago
1998
IEEE
In tunneling and mining construction work, heavy and large manipulators are used to spray liquid concrete on the walls. These manipulators are usually operated manually with simpl...
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
IJCAI
2003
15 years 28 days ago
2003
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
EUROCOLT
1997
Springer
15 years 3 months ago
1997
Springer
In any learnability setting, hypotheses are conjectured from some hypothesis space. Studied herein are the influence on learnability of the presence or absence of certain control ...