374 search results - page 46 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
IR
2010
13 years 6 months ago
2010
Recently direct optimization of information retrieval (IR) measures becomes a new trend in learning to rank. Several methods have been proposed and the effectiveness of them has ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
ACL
1998
13 years 9 months ago
1998
This paper describes a novel method by which a dialogue agent can learn to choose an optimal dialogue strategy. While it is widely agreed that dialogue strategies should be formul...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...