20142019

Research output per year

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Personal profile

Academic Biography

Yingke Chen received his PhD degree in the Department of Computer Science, Aalborg University in 2013. His research interests include Artificial Intelligence (in particular, multiagent learning and its applications in computer games) and Formal Methods (in particular, machine learning-based model checking). Currently, he is developing multi-agent systems where each intelligent agent can interact with others by reasoning, learning and planning. More importantly, each agent's behaviour could be verified and explained. Such explicit opponent modelling not only statistically approximates observed behaviours but also serve as a vehicle to formally address the security and reliability aspects of intelligent systems. Most of his work appears in well-known AI/ML journals and prestigious AI/FM conferences. He serves in program committee for top international conferences like IJCAI, AAAI and AAMAS, and reviews articles for a wide range of journals including several IEEE Transactions.

Besides conducting fundamental research, he is also interested in addressing emerging business challenges with AI/ML techniques. So far, he has been involved in several Innovate UK funded Knowledge Transfer Partnerships (KTP): A Game-based E-learning Platform for Language Training, 2018; E-commerce Platform Performance Improvement, 2019; Collaborative Planning for Hybrid AUV (Autonomous Underwater Vehicle) Systems, 2019. To further generate research impact, he also collaborates with computer game companies on NPC decision making and interactive narrative.

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Research Output

  • 4 Conference contribution
  • 4 Paper
  • 4 Article

Self-Improving Generative Adversarial Reinforcement Learning

Liu, Y., Zeng, Y., Chen, Y. & Tang, J., 15 May 2019, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. IFAAMAS, Vol. 1. p. 52-60 ( ACM International Conference on Autonomous Agents and Multiagent Systems. Proceedings ).

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

  • Decision-Theoretic Planning Under Anonymity in Agent Populations

    Sonu, E., Chen, Y. & Doshi, P., 24 Aug 2017, In : Journal of Artificial Intelligence Research. 59, p. 725-770

    Research output: Contribution to journalArticle

    Open Access
    File
  • 118 Downloads (Pure)

    On Markov Games Played by Bayesian and Boundedly-Rational Players

    Chandrasekaran, M., Chen, Y. & Doshi, P., 13 Feb 2017, Proceedings of 31st AAAI Conference on Artificial Intelligence. AAAI, 7 p. ( Proceedings of the AAAI conference on artificial intelligence).

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

    Open Access
    File
  • Can bounded and self-interested agents be teammates? Application to planning in ad hoc teams

    Chandrasekaran, M., Doshi, P., Zeng, Y. & Chen, Y., 23 Nov 2016, In : Autonomous Agents and Multi-Agent Systems. p. -

    Research output: Contribution to journalArticle

    Open Access
    File
  • 172 Downloads (Pure)

    Interactive dynamic influence diagrams for relational agents

    Pan, Y., Chen, Y., Tang, J. & Zeng, Y., 2 Feb 2016, Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. Institute of Electrical and Electronics Engineers Inc., p. 233-234 2 p. 7397467

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