Sciweavers

495 search results - page 12 / 99
» Constructing States for Reinforcement Learning
Sort
View
SPEECH
2008
114views more  SPEECH 2008»
13 years 7 months ago
A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems
Although dialogue systems have been an area of research for decades, finding accurate ways of evaluating different systems is still a very active subfield since many leading metho...
Joel R. Tetreault, Diane J. Litman
JACIII
2007
105views more  JACIII 2007»
13 years 7 months ago
Reinforcement Learning for Penalty Avoidance in Continuous State Spaces
Kazuteru Miyazaki, Shigenobu Kobayashi
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 9 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
13 years 11 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
ATAL
2010
Springer
13 years 8 months ago
Basis function construction for hierarchical reinforcement learning
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
Sarah Osentoski, Sridhar Mahadevan