584 search results - page 24 / 117 » Reinforcement Learning Task Clustering |
121
Voted
NIPS
2008
15 years 3 months ago
2008
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
151
Voted
IAT
2005
IEEE
15 years 8 months ago
2005
IEEE
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
119
click to vote
ICANN
2009
Springer
15 years 9 months ago
2009
Springer
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
118
click to vote
ROBOCUP
2009
Springer
15 years 9 months ago
2009
Springer
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
123
click to vote
CIIA
2009
15 years 3 months ago
2009
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...