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Reward Shaping for Statistical Optimisation of Dialogue Management
Statistical Language and Speech Processing - Lecture Notes in Computer Science
◽
10.1007/978-3-642-39593-2_8
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2013
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pp. 93-101
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Cited By ~ 4
Author(s):
Layla El Asri
◽
Romain Laroche
◽
Olivier Pietquin
Keyword(s):
Dialogue Management
◽
Reward Shaping
Download Full-text
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References
Expert-based reward shaping and exploration scheme for boosting policy learning of dialogue management
2013 IEEE Workshop on Automatic Speech Recognition and Understanding
◽
10.1109/asru.2013.6707714
◽
2013
◽
Cited By ~ 4
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Emmanuel Ferreira
◽
Fabrice Lefevre
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Policy Learning
◽
Dialogue Management
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Reward Shaping
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Pragmatic interpretation and dialogue management in spoken-language systems
PsycEXTRA Dataset
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10.1037/e492692004-001
◽
1995
◽
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Spoken Language
◽
Dialogue Management
◽
Spoken Language Systems
◽
Pragmatic Interpretation
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Dialogue Management based on Sentence Clustering
10.3115/v1/p15-2131
◽
2015
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◽
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◽
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Road vehicles. Ergonomic aspects of transport information and control systems. Dialogue management principles and compliance procedures
10.3403/02689951u
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Control Systems
◽
Road Vehicles
◽
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◽
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Road vehicles. Ergonomic aspects of transportation and control systems. Dialogue management principles and compliance procedures
10.3403/30327525
◽
2017
◽
Keyword(s):
Control Systems
◽
Road Vehicles
◽
Dialogue Management
◽
And Control
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Flexible dialogue management in intelligent human-machine interfaces
IEE Seminar on Intelligent Building Environments
◽
10.1049/ic:20050249
◽
2005
◽
Cited By ~ 1
Author(s):
J. Pittermann
Keyword(s):
Dialogue Management
◽
Human Machine Interfaces
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Dialogue management reference model
ACM SIGCHI Bulletin
◽
10.1145/15683.15687
◽
1986
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Vol 18
(2)
◽
pp. 34-35
◽
Cited By ~ 3
Author(s):
Norwood Sisson
Keyword(s):
Reference Model
◽
Dialogue Management
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Using History of Belief States for Adaptive Dialogue Management
Proceedings of the 2019 International Conference on Video, Signal and Image Processing
◽
10.1145/3369318.3369341
◽
2019
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Author(s):
Xiaobu Yuan
Keyword(s):
Dialogue Management
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History Of
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Belief States
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Air Combat Strategies Generation of CGF Based on MADDPG and Reward Shaping
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)
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10.1109/cvidl51233.2020.000-7
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2020
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◽
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Using plan-based reward shaping to learn strategies in StarCraft: Broodwar
2013 IEEE Conference on Computational Inteligence in Games (CIG)
◽
10.1109/cig.2013.6633622
◽
2013
◽
Cited By ~ 4
Author(s):
Kyriakos Efthymiadis
◽
Daniel Kudenko
Keyword(s):
Reward Shaping
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