584 search results - page 43 / 117 » Reinforcement Learning Task Clustering |
ATAL
2005
Springer
14 years 2 months ago
2005
Springer
Mediation is the process of decomposing a task into subtasks, finding agents suitable for these subtasks and negotiating with agents to obtain commitments to execute these subtas...
JCP
2008
13 years 8 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
HYBRID
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Multi-modal control is a commonly used design tool for breaking up complex control tasks into sequences of simpler tasks. In this paper, we show that by viewing the contr...
ISDA
2006
IEEE
14 years 2 months ago
2006
IEEE
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
ICML
2003
IEEE
14 years 9 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. ...