David Hubczenko

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 6

Top Topics

Markov Decision Process

Reinforcement Learning

Partial Observability

Top Venues

Publications

Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN (2020)
Duong Duc Nguyen, Arvind Rajagopalan, Jijoong Kim, Cheng-Chew Lim, David Hubczenko
Dynamic Multi-Target Assignment with Decentralised Online Learning to Achieve Multiple Synchronised Goals. ICMLC (2020)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR (2019)
Junae Kim, David Hubczenko, Paul Montague
Towards Attention Based Vulnerability Discovery Using Source Code Representation. ICANN (4) (2019)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec (2018)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR (2018)