56 search results - page 6 / 12 » A k-NN Based Perception Scheme for Reinforcement Learning |
108
click to vote
CORR
2007
Springer
15 years 1 months ago
2007
Springer
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
155
click to vote
CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
111
click to vote
ATAL
2007
Springer
15 years 7 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
113
click to vote
AAAI
1994
15 years 2 months ago
1994
Researchers in the eld of Distributed Arti cial Intelligence (DAI) have been developing e cient mechanisms to coordinate the activities of multiple autonomous agents. The need for...
117
click to vote
HIS
2008
15 years 2 months ago
2008
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...