473 search results - page 36 / 95 » Programmable Reinforcement Learning Agents |
IJCAI
2003
13 years 10 months ago
2003
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
IWANN
1999
Springer
14 years 27 days ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
JMLR
2006
13 years 8 months ago
2006
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
MAGS
2010
13 years 3 months ago
2010
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
ICES
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...