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Personal profile

Research Interests

Intelligent Systems: Reinforcement learning, policy search, hierarchical reinforcement learning, deep
reinforcement learning Bayesian reinforcement learning, planning under uncertainty (POMDPs), motion planning, learning from human feedback.

Machine Learning: Probabilistic modeling, deep learning, Bayesian inference, Bayesian optimization

Robotics: Motor skill learning, movement primitives, manipulation under uncertainty, model learning, optimal control, human-robot interaction.

Teaching

Spring 2019: CSC4007 Advanced Machine Learning

Spring 2018: CSC4007 Advanced Machine Learning

Fingerprint Dive into the research topics where Vien Ngo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Reinforcement learning Engineering & Materials Science
Hilbert spaces Engineering & Materials Science
Planning Engineering & Materials Science
Feedback Engineering & Materials Science
Covariance matrix Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Demonstrations Engineering & Materials Science
Macros Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2019

Research Output 2006 2019

A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space

Dang, V. H., Vien, N. A. & Chung, T. C., 19 Jun 2019, In : Genetic Programming and Evolvable Machines. p. 1-23

Research output: Contribution to journalArticle

Open Access
File
Covariance Matrix Adaptation
Reproducing Kernel Hilbert Space
Evolution Strategies
Hilbert spaces
Covariance matrix

Deep Learning-Based Detector for OFDM-IM

Luong, T. V., Ko, Y., Vien, N. A., Nguyen, D. H. N. & Matthaiou, M., 09 Apr 2019, In : IEEE Wireless Communications Letters.

Research output: Contribution to journalArticle

Open Access
File
Orthogonal frequency division multiplexing
Signal detection
Modulation
Detectors
Bit error rate

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier Features

Nguyen, M-N. & Ngo, V., 18 Jan 2019, Machine Learning and Knowledge Discovery in Databases. Springer, p. 157-172 (Lecture Notes in Computer Science; vol. 11051).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
Industrial applications
Decision making
Deep learning

A Functional Optimization Method for Continuous Domains

Dang, V. H., Vien, N. A., Le-Tuyen, P. & Chung, T., 13 Jan 2018, Industrial Networks and Intelligent Systems - 3rd International Conference, INISCOM 2017, Proceedings. Chen, Y. & Duong, T. Q. (eds.). Springer-Verlag, Vol. 221. p. 254-265 12 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 221).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hilbert spaces
Covariance matrix
Mathematical operators
Derivatives
Costs

Bayesian Functional Optimization

Vien, N. A., Zimmermann, H. & Toussaint, M., 29 Apr 2018, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). p. 4171-4178 8 p. (Proceedings Of The AAAI Conference On Artificial Intelligence And The Innovative Applications Of Artificial Intelligence Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Hilbert spaces
Reinforcement learning
Multilayer neural networks
Learning systems
Derivatives

Prizes

Best paper prize (Korea Software Congress 2018)

Vien Ngo (Recipient), Dec 2018

Prize: Prize (including medals and awards)

Korea
software

Activities 2017 2019

Probabilistic Modeling for Sequential Decision Making under Uncertainty Problems

Vien Ngo (Invited speaker)
23 Apr 2019

Activity: Talk or presentation typesInvited talk

International Joint Conference on Artificial Intelligence (IJCAI 2019)

Vien Ngo (Member of programme committee)
Mar 2019Apr 2019

Activity: Participating in or organising an event typesParticipation in conference

Deakin University

Vien Ngo (Examiner)
Apr 2019Jun 2019

Activity: Examination typesPhD external examination

Probabilistic Modeling for Sequential Decision Making under Uncertainty Problems

Vien Ngo (Invited speaker)
24 Apr 2019

Activity: Talk or presentation typesInvited talk

Probabilistic Modeling for Sequential Decision Making under Uncertainty Problems

Vien Ngo (Invited speaker)
29 Apr 2019

Activity: Talk or presentation typesInvited talk