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Action model learning
Action model learning (sometimes abbreviated action learning) is an area of machine learning concerned with creation and modification of software…
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Related topics
Related topics
14 relations
Action language
Architecture description language
Artificial intelligence
Automated planning and scheduling
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Broader (2)
Data mining
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Augmenting Action Model Learning by Non-Geometric Features
Iman Nematollahi
,
Daniel Kuhner
,
T. Welschehold
,
Wolfram Burgard
IEEE International Conference on Robotics and…
2019
Corpus ID: 199540954
Learning from demonstration is a powerful tool for teaching manipulation actions to a robot. It is, however, an unsolved problem…
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2019
2019
Neural Network Based Approach for Learning Planning Action Models
A. Milani
,
R. Niyogi
,
Giulio Biondi
Communication Systems and Applications
2019
Corpus ID: 195755617
Artificial Intelligence (AI) planning technology represents one of the most efficient solutions to guide goal driven agents in…
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2018
2018
Learning from Exploration: Towards an Explainable Goal Reasoning Agent
Dustin Dannenhauer
,
Michael W. Floyd
,
M. Molineaux
,
D. Aha
2018
Corpus ID: 53308284
Complex, real-world environments may not be fully modeled for an agent, especially if the agent has never operated in the…
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2016
2016
Cost-Sensitive Action Model Learning
Dongning Rao
,
Zhihua Jiang
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
2016
Corpus ID: 12368908
Action model learning can relieve people from writing planning domain descriptions from scratch. Real-world learners need to be…
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2015
2015
An Automatic Software Requirement Analysis Model based on Planning and Machine Learning Techniques
Tienan Zhang
2015
Corpus ID: 7011250
In the past years, the scale of software is growing quickly as more and more organizations begin to deploy their business on…
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2014
2014
Learning Planning Domain Descriptions in RDDL
Dongning Rao
,
Zhihua Jiang
Int. J. Artif. Intell. Tools
2014
Corpus ID: 7224617
Recently, there is increasing interest in action model learning. However, most previous studies focused on learning effect-based…
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2012
2012
Exploiting Machine-Transcribed Dialog Corpus to Improve Multiple Dialog States Tracking Methods
Sungjin Lee
,
M. Eskénazi
SIGDIAL Conference
2012
Corpus ID: 15269863
This paper proposes the use of unsupervised approaches to improve components of partition-based belief tracking systems. The…
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2011
2011
Relational action model learning and planning integration Relational action model learning and planning integration
Christophe Rodrigues
,
Pierre Gérard
,
C. Rouveirol
,
H. Soldano
2011
Corpus ID: 10718794
Résumé : This paper addresses a relational reinforcement learning-like problem with general action-model relational learning and…
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2007
2007
Requirement Specification Based on Action Model Learning
Hankui Zhuo
,
Lei Li
,
Rui Bian
,
Hai Wan
International Conference on Intelligent Computing
2007
Corpus ID: 44649750
To solve a problem with intelligent planning, an expert has to try his best to write a planning domain. It is hard and time…
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