155 search results - page 24 / 31 » Multi-agent Reinforcement Learning Using Strategies and Voti... |
ICRA
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
AIIDE
2009
13 years 9 months ago
2009
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
SMC
2007
IEEE
14 years 2 months ago
2007
IEEE
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
CCIA
2010
Springer
13 years 3 months ago
2010
Springer
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...