Please feel free to contact me if you cannot access some of the material online.
K. Malialis. Distributed Reinforcement Learning for Network Intrusion Response. PhD thesis, Department of Computer Science, University of York, UK, 2014. [pdf]
K. Malialis. Genetic Algorithms Using Lamarckian Evolution. MEng dissertation, Department of Computer Science, University of York, UK, 2010.
K. Malialis, S. Devlin and D. Kudenko. Distributed Reinforcement Learning for Adaptive and Robust Network Intrusion Response. In Connection Science, Volume 27, Issue 3, July 2015, Pages 234-252. [link]
Best Student Paper Award K. Malialis, D. Kudenko. Distributed Response to Network Intrusions Using Multiagent Reinforcement Learning. In Engineering Applications of Artificial Intelligence, Volume 41, May 2015, Pages 270-284. [link]
H. Cai, K. Ren, W. Zhang, K. Malialis, J. Wang, Y. Yu and D. Guo. Real-Time Bidding with Reinforcement Learning in Display Advertising. In Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM), 2017. [pdf] (Acceptance rate 15.8%)
K. Malialis, S. Devlin and D. Kudenko. Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016. [pdf] (Acceptance rate 24.9%)
K. Malialis, S. Devlin and D. Kudenko. Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response. In Proceedings of the 21st European Conference on Artificial Intelligence (ECAI), 2014. [pdf]
K. Malialis and D. Kudenko. Multiagent Router Throttling: Decentralized Coordinated Response against DDoS Attacks. In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence (AAAI / IAAI), 2013. [pdf]
K. Malialis, J. Wang, G. Brooks, G. Frangou. Feature Selection as a Multiagent Coordination Problem. In Proceedings of the AAMAS Workshop on Adaptive and Learning Agents (ALA), 2016.
K. Malialis, S. Devlin and D. Kudenko. Intrusion Response Using Difference Rewards for Scalability and Online Learning. In Proceedings of the AAMAS Workshop on Adaptive and Learning Agents (ALA), 2014.
K. Malialis and D. Kudenko. Large-Scale DDoS Response Using Cooperative Reinforcement Learning. In 11th European Workshop on Multi-Agent Systems (EUMAS), 2013.
K. Malialis and D. Kudenko. Reinforcement Learning of Throttling for DDoS Attack Response. In Proceedings of the AAMAS Workshop on Adaptive and Learning Agents (ALA), 2012.