267 search results - page 39 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
88
Voted
AAAI
2006
14 years 11 months ago
2006
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
ML
1998
ACM
14 years 9 months ago
1998
ACM
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
78
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
AIIDE
2007
14 years 12 months ago
2007
The goal of adaptive game AI is to enhance computercontrolled game-playing agents with (1) the ability to selfcorrect mistakes, and (2) creativity in responding to new situations....
QRE
2010
2010
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
14 years 8 months ago
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...