88 search results - page 9 / 18 » Learning to Coordinate Actions in Multi-Agent-Systems |
FLAIRS
1998
13 years 8 months ago
1998
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
RAS
2007
13 years 7 months ago
2007
Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of compe...
ICRA
2003
IEEE
14 years 23 days ago
2003
IEEE
We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
AAAI
1998
13 years 8 months ago
1998
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
DAGSTUHL
2007
13 years 9 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...