A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Verifiable and Compositional Reinforcement Learning Systems
[article]
2022
arXiv
pre-print
Preserved Fulltext
Other Versions
We propose a framework for verifiable and compositional reinforcement learning (RL) in which a collection of RL subsystems, each of which learns to accomplish a separate subtask, are composed to achieve ...
This in turn allows for the independent training and testing of the subsystems; if they each learn a policy satisfying the appropriate subtask specification, then their composition is guaranteed to satisfy ...
Acknowledgements This work was supported in part by ONR N00014-20-1-2115, ARO W911NF-20-1-0140, and NSF 1652113. ...
arXiv:2106.05864v3
fatcat:gbres3mpqrfxjctmmle4c744d4
Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning
2018
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
by reinforcement learning. ...
This is especially true in Cyber-Physical Systems because high-fidelity physical models of systems are expensive to develop and often intractable to verify. ...
Our approach is compositional with other approaches to safe learning. ...
doi:10.1609/aaai.v32i1.12107
fatcat:ihbimfppzbakbna25vrmo6rcxu
Durability Assessment of PVA Fiber-Reinforced Cementitious Composite Containing Nano-SiO2 Using Adaptive Neuro-Fuzzy Inference System
2020
Crystals
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this study, the durability of polyvinyl alcohol fiber-reinforced cementitious composite containing nano-SiO2 was evaluated using the adaptive neuro-fuzzy inference system (ANFIS). ...
Compared with the traditional expert evaluation method, the durability evaluation system based on the ANFIS learned expert experience, stored the expert experience in fuzzy rules, and eliminated the subjectivity ...
This study applied the ANFIS inference system to assess the durability of PVA fiber-reinforced cementitious composites containing nano-SiO 2 . ...
doi:10.3390/cryst10050347
fatcat:ryr3n3jhlzheflnkqomb7ki73a
Performance Evaluation of CFRP Reinforced Concrete Members Utilizing Fuzzy Technique
2018
International Journal of Concrete Structures and Materials
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Aging and structural deterioration under severe environments are major causes of damage in reinforced concrete (RC) structures, such as buildings and bridges. ...
Recently, FRP composite materials have emerged as a cost-effective alternative to conventional materials for repairing, strengthening, and retrofitting deteriorating/deficient concrete structures, by externally ...
Availability of Data and Materials Not applicable.
Funding Dankook University. ...
doi:10.1186/s40069-018-0313-0
fatcat:uvdiqgzdgzd5nlisitgt4duo5i
Cumulative Learning Through Intrinsic Reinforcements
[chapter]
2014
Evolution, Complexity and Artificial Life
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We compare different versions of the system varying the composition of the learning signal and we show that the only system able to reach high performance in the task is the one that implements the learning ...
In particular, we suggest that the particular composition of such a signal, determined by both extrinsic and intrinsic reinforcements, would be suitable to improve the implementation of cumulative learning ...
We varied the composition of the learning signal and we verified that only the one implementing our hypothesis was able to guide the simulated robot in the achievement of the task. ...
doi:10.1007/978-3-642-37577-4_7
fatcat:6cwp4qht7jaolgwr4klrdlwdfm
Hierarchical principles of embodied reinforcement learning: A review
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Among the most promising computational approaches to provide comparable learning-based problem-solving abilities for artificial agents and robots is hierarchical reinforcement learning. ...
We then relate these insights with contemporary hierarchical reinforcement learning methods, and identify the key machine intelligence approaches that realise these mechanisms. ...
prerequisites of computational hierarchical reinforcement learning systems (cf. ...
arXiv:2012.10147v1
fatcat:dfkdehyz2rggtimmlcmtvycpxe
Towards Verified Artificial Intelligence
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This paper considers Verified AI from a formal methods perspective. We describe five challenges for achieving Verified AI, and five corresponding principles for addressing these challenges. ...
Verified artificial intelligence (AI) is the goal of designing AI-based systems that that have strong, ideally provable, assurances of correctness with respect to mathematically-specified requirements. ...
and Assured Autonomy programs, by Toyota under the iCyPhy center, and by Berkeley Deep Drive. ...
arXiv:1606.08514v4
fatcat:ozoldsdnzjghddhwz5xju6zqvu
The use of deep learning algorithm and digital media art in all-media intelligent electronic music system
2020
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In the development of digital media art, to explore the preliminary application of deep learning method in intelligent electronic music system, and promote the integration of deep learning method and digital ...
The accuracy rate of task test corresponding to intelligent system in different scenarios is above 95%, which is better than other conventional algorithms in task test; the self-reinforcement network algorithm ...
The system integrates the deep reinforcement learning algorithm and the deep learning algorithm composition into it. ...
doi:10.1371/journal.pone.0240492
pmid:33075083
fatcat:wld2hu7qarbh3e7utrndrjqgoy
2020 Index IEEE Transactions on Services Computing Vol. 13
2021
IEEE Transactions on Services Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
-Oct. 2020 843-856
MMDP: A Mobile-IoT Based Multi-Modal Reinforcement Learning Service
Framework. ...
., +, TSC July-Aug. 2020 653-662
MMDP: A Mobile-IoT Based Multi-Modal Reinforcement Learning Service
Framework. ...
doi:10.1109/tsc.2021.3055723
fatcat:eumbihmezvehxdfbmlp6ufzkwe
Flexible learning experiences available
2010
British Dental Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
, composite and porcelain. ...
The course will cover areas including comparison between different fi bre systems currently available in the market, durability and performance of the fi bre reinforced restorations, different indications ...
doi:10.1038/sj.bdj.2010.325
fatcat:ufirderkozc5hdxgxsvgbwaxfq
Damage Analysis and Prediction in Glass Fiber Reinforced Polyester Composite Using Acoustic Emission and Machine Learning
2022
Journal of Robotics and Automation Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This study assesses the progression of damage occurring on glass fiber reinforced polyester composite specimens using two approaches of machine learning, namely, Supervised and Unsupervised learning. ...
A methodology for damage detection and characterization of composite is presented. The result shows that machine learning can predict damages in composite materials. ...
and damage propagation in glass fiber reinforced polyester composite material under cyclic fatigue test. ...
doi:10.33140/jrar.03.02.01
fatcat:txsuk6htinbpnbanvvt63ntgie
Learning from Human Decision-Making Behaviors — An Application to RoboCup Software Agents
[chapter]
2002
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
As a result, online learning techniques have been used in order to make software agents automatically learn to decide proper condition-action rules from their experiences. ...
However, for complicated problems this approach requires a large amount of time and might not guarantee the optimality of rules. ...
Experiments of Learning from Human Decision-Making Behaviors We extensively conducted experiments in order to verify whether it is possible to learn the decision-making behaviors of the human player who ...
doi:10.1007/3-540-48035-8_14
fatcat:pqlhr7mljzhxvlvndikbees55q
Practical training experience
2010
British Dental Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
, composite and porcelain. ...
The course will cover areas including comparison between different fi bre systems currently available in the market, durability and performance of the fi bre reinforced restorations, different indications ...
doi:10.1038/sj.bdj.2010.329
fatcat:rvkvusycwzbb7nj4b7yapsoh4m
Formulation of the Effect of Different Alloying Elements on the Tensile Strength of the in situ Al-Mg2Si Composites
2015
Metals
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The proposed model shows good agreement with test results and can be used to find the ultimate tensile strength of Al-Mg2Si composites. ...
In addition, it is observed that magnesium and copper have a stronger effect on the ultimate tensile strength of Al-Mg2Si composites comparison to other alloying elements. ...
Composites the produced by in situ technique exhibit the better particle wetting, even distribution of the reinforcing phase and thermodynamically stable system [4, 5] . ...
doi:10.3390/met5010371
fatcat:vb5eipzmovg2dafj33fhleztd4
Classification of Textile Polymer Composites: Recent Trends and Challenges
2021
Polymers
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Therefore, classification of textiles products and fibre reinforced polymer composites is a challenging task. ...
The inclusion of natural polymeric fibres as reinforcement in carbon fibre reinforced composites manufacturing delineates an economic way, enhances their surface, structural and mechanical properties by ...
(GFRP), basalt fiber reinforced polymer composites (BFRP) and aramid fiber reinforced polymer composites (AFRP). ...
doi:10.3390/polym13162592
pmid:34451132
pmcid:PMC8398028
fatcat:5hnoal6zprfk5iwljrctggyn6y
« Previous
Showing results 1 — 15 out of 61,588 results