192 search results - page 30 / 39 » Multi-agent Relational Reinforcement Learning |
ATAL
2004
Springer
14 years 26 days 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...
PKDD
2010
Springer
13 years 5 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
2005
IEEE
14 years 8 months ago
2005
IEEE
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...
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. ...
ICCSA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Relational algebra is one of the main topics covered in undergraduate computer science database courses. In this paper, we present a web-based tool designed to automatica...