373 search results - page 19 / 75 » Building Relational World Models for Reinforcement Learning |
ECIS
2004
13 years 9 months ago
2004
This article analyzes the impact of a computer simulation (business game) on the users' perceived learning. The theoretical model developed in this paper is derived from the ...
JAIR
2010
13 years 6 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
ICML
2003
IEEE
14 years 8 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. ...
IBERAMIA
2004
Springer
14 years 1 months ago
2004
Springer
In this paper we describe MRSCL Geometry a collaborative educational activity that explores the use of robotic technology and wirelessly connected Pocket PCs as tools for teaching ...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...