1512 search results - page 39 / 303 » Qualitative reinforcement learning |
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
IAT
2003
IEEE
14 years 1 months ago
2003
IEEE
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
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...
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 7 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...