Daniel Kudenko

Biography

Professor at the Saint Petersburg National Academic Research University of the Russian Academy of Science and member of the Artificial Intelligence Group at the University of York, UK.

Prof. Kudenko received a Masters in Computer Science from the University of the Saarland, Germany and a PhD in Machine Learning from Rutgers University, USA. His research is focused around machine learning (specifically reinforcement learning), AI for interactive entertainment, user modelling, and human-AI interaction, and he has published over 100 peer-reviewed papers in various areas of artificial intelligence and co-edited three books published by Springer.

Prof. Kudenko was a member of the management committee of AgentLink II, the European Network of Excellence on Agent Computing, and coordinator of the inter-network SIG on “Agents that Learn, Adapt, and Discover” (AgentLink II , ILPNet, EUnite). He has been a principal and co-investigator on a number projects funded by EPSRC, InnovateUK, and DSTL, and has a strong record in knowledge transfer and collaboration with industry, having worked on many projects with industrial partners, including QinetiQ, Eidos, and Mood International. Prof. Kudenko has been serving on program committees and senior program committees of numerous conferences, including AAMAS, AAAI, ECAI, and ICML.

To date, 16 PhD students have graduated under his supervision.

Publications

  • P. Holloway, D. Kudenko, J. Bell
    Ecological Indicators, 2018
  • N. Al-Roussais, D. Kudenko
    iSynchronizer: A Tool for Extracting, Integration and Analysis of MovieLens and IMDb Datasets
    Holistic User Modelling Workshop at UMAP '18, 2018
  • D. Zendle, D. Kudenko, P. Cairns
    Entertainment Computing, 2018
  • J. Burden, D. Kudenko
    Using Uniform State Abstractions For Reward Shaping With Reinforcement Learning
    Workshop on Adaptive and Learning Agents (ALA) at ICML-AAMAS, 2018
  • M. Li, T. Brys, D. Kudenko
    Introspective Reinforcement Learning and Learning from Demonstration
    17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018
  • T. Bryskin, A. Shpilman, D. Kudenko
    AAAI Workshop on Natural Language Processing for Software Engineering, 2018
  • A. Malysheva, A. Shpilman, and D. Kudenko
    Learning to Run with Reward Shaping from Video Data
    Workshop on Adaptive and Learning Agents (ALA) at ICML-AAMAS, 2018
  • G. Mason, R. Calinescu, D. Kudenko, A. Banks
    Advances in Hybridization of Intelligent Methods. Smart Innovation, Systems and Technologies, 2018
  • M. Li, D. Kudenko
    Reinforcement learning from multiple experts demonstrations
    Workshop on Adaptive and Learning Agents (ALA) at ICML-AAMA, 2018
  • M. Li, T. Brys, D. Kudenko
    Introspective Reinforcement Learning and Learning from Demonstration
    17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018
  • A. Shpilman, D. Boikiy, M. Plyakova, D. Kudenko, A. Burakov, E. Nadezhdina
    Sixteenth International Conference on Machine Learning and Applications (ICMLA), 2017
  • Y. Wei, D. Kudenko, S. Liu, L. Pan, L. Wu, X. Meng
    A Reinforcement Learning Based Workflow Application Scheduling Approach For SaaS Providers in Dynamic Cloud Environments
    13th EAI International Conference on Collaborative Computing, 2017