425 search results - page 25 / 85 » Metacognitive Control and Optimal Learning |
91
Voted
ROBOCUP
2004
Springer
15 years 3 months ago
2004
Springer
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
AAAI
2011
13 years 9 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
101
click to vote
AAAI
2012
13 years 18 hour ago
2012
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
SASO
2009
IEEE
15 years 4 months ago
2009
IEEE
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
NIPS
2001
14 years 11 months ago
2001
Tangential hand velocity profiles of rapid human arm movements often appear as sequences of several bell-shaped acceleration-deceleration phases called submovements or movement un...