99 search results - page 18 / 20 » A Reinforcement Learning Approach for Multiagent Navigation |
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
IROS
2006
IEEE
15 years 4 months ago
2006
IEEE
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Research in collective robotics is motivated mainly by the possibility of achieving an efficient solution to multi-objective navigation tasks when multiple robots are employed, in...
RAS
2010
14 years 8 months ago
2010
One important design decision for the development of autonomously navigating mobile robots is the choice of the representation of the environment. This includes the question which...