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113
Voted
INLG
2010
Springer
14 years 10 months ago
Hierarchical Reinforcement Learning for Adaptive Text Generation
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
Nina Dethlefs, Heriberto Cuayáhuitl
106
Voted
NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 1 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
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 ...
Bram Bakker, Jürgen Schmidhuber
99
Voted
ICML
1998
IEEE
16 years 1 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
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...
Thomas G. Dietterich
95
Voted
ICML
2000
IEEE
16 years 1 months ago
Learning to Fly: An Application of Hierarchical Reinforcement Learning
Malcolm R. K. Ryan, Mark D. Reid