1236 search results - page 54 / 248 » Opposition-Based Reinforcement Learning |
Publication
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
NN
2006
Springer
13 years 10 months ago
2006
Springer
Most reinforcement learning models of animal conditioning operate under the convenient, though fictive, assumption that Pavlovian conditioning concerns prediction learning whereas...
Book
"Reinforcement learning is learning what to do how to map situations to actions so as to maximize a numerical reward signal. The learner is not told which actions to take, as ...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
ECML
2003
Springer
14 years 3 months ago
2003
Springer
