878 search results - page 30 / 176 » Learning to Control in Operational Space |
84
Voted
ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
This paper describes the control of a human-like robotic neck actuated with tendons. The controller regulates the length of the tendons to achieve a desired orientation of the neck...
108
Voted
ESANN
2007
15 years 5 months ago
2007
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
151
Voted
ICML
1996
IEEE
15 years 7 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
140
Voted
ISCA
2008
IEEE
15 years 10 months ago
2008
IEEE
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
122
Voted
AUTOMATICA
2006
15 years 3 months ago
2006
This paper revisits a well-known synthesis problem in iterative learning control, where the objective is to optimize a performance criterion over a class of causal iterations. The...