1233 search results - page 1 / 247 » Feudal Reinforcement Learning |
NIPS
1992
13 years 6 months ago
1992
This paper describes the adaption and application of an algorithm called Feudal Reinforcement Learning to a complex gridworld navigation problem. The algorithm proved to be not ea...
SAB
2010
Springer
13 years 3 months ago
2010
Springer
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
ICTAI
2003
IEEE
13 years 10 months ago
2003
IEEE
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
SAC
2005
ACM
13 years 11 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...