411 search results - page 1 / 83 » Learning to Fly: An Application of Hierarchical Reinforcemen... |
79
Voted
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
SAB
2010
Springer
14 years 7 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...
NCI
2004
14 years 11 months ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
81
Voted
ICML
1998
IEEE
15 years 10 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...