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INLG
2010
Springer
9 years 5 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
INLG
2010
Springer
9 years 5 months ago
Feature Selection for Fluency Ranking
16:30 Generating and Validating Abstracts of Meeting Conversations: a User Study. Gabriel Murray, Giuseppe Carenini and Raymond Ng 16:30 - 16:45 Break Session 3: Sentence Level Gen...
Daniël de Kok
SAB
2010
Springer
189views Optimization» more  SAB 2010»
9 years 4 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
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...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
ECML
2004
Springer
10 years 13 days ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at diļ¬€erent levels of abstraction. In ...
Bernhard Hengst
PRICAI
2000
Springer
9 years 10 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
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