827 search results - page 3 / 166 » Variational methods for Reinforcement Learning |
73
Voted
ECML
2003
Springer
15 years 3 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 ...
106
Voted
SAC
2005
ACM
15 years 3 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...
87
Voted
ICML
1998
IEEE
15 years 11 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...
67
Voted
ICML
1997
IEEE
15 years 11 months ago
1997
IEEE
104
Voted
IAT
2003
IEEE
15 years 3 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 ...