1270 search results - page 152 / 254 » Dogged Learning for Robots |
ATAL
2003
Springer
14 years 3 months ago
2003
Springer
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
ATAL
2011
Springer
12 years 10 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
ESANN
2004
13 years 11 months ago
2004
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
ICRA
2003
IEEE
14 years 3 months ago
2003
IEEE
— We present a framework for composing motor controllers into autonomous composite reactive behaviors for bipedal robots and autonomous, physically-simulated humanoids. A key con...