4345 search results - page 22 / 869 » Relational Reinforcement Learning |
ICTAI
2007
IEEE
15 years 4 months ago
2007
IEEE
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
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SAC
2005
ACM
15 years 3 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
DAGM
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...