827 search results - page 3 / 166 » Variational methods for Reinforcement Learning |
ECML
2003
Springer
13 years 11 months ago
2003
Springer
We present in this paper a method to introduce a priori knowledge into reinforcement learning using temporally extended actions. The aim of our work is to reduce the learning time ...
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...
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
ICML
1997
IEEE
14 years 6 months ago
1997
IEEE
IAT
2003
IEEE
13 years 11 months ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...