3084 search results - page 1 / 617 » Learning to Take Actions |
AAAI
1996
13 years 8 months ago
1996
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
ETS
2008
IEEE
13 years 7 months ago
2008
IEEE
UAI
2008
13 years 8 months ago
2008
We study a multiagent learning problem where agents can either learn via repeated interactions, or can follow the advice of a mediator who suggests possible actions to take. We pr...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
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 ...