847 search results - page 87 / 170 » Learning Action Selection Network of Intelligent Agent |
160
Voted
NN
2007
Springer
15 years 2 months ago
2007
Springer
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
101
Voted
AAAI
2004
15 years 4 months ago
2004
We describe a formal framework for diagnosis and repair problems that shares elements of the well known partially observable MDP and cost-sensitive classification models. Our cost...
122
Voted
COLT
2007
Springer
15 years 9 months ago
2007
Springer
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
141
Voted
JAIR
2002
15 years 3 months ago
2002
Much work in AI deals with the selection of proper actions in a given (known or unknown) environment. However, the way to select a proper action when facing other agents is quite ...
129
Voted
AAAI
2007
15 years 5 months ago
2007
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...