Research Output per year
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). 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 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, 2018-2020; Collaborative Planning for Hybrid AUV (Autonomous Underwater Vehicle) Systems, 2019-2021.
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Planning
Engineering & Materials Science
Model checking
Engineering & Materials Science
Decision making
Engineering & Materials Science
Scalability
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
Temporal logic
Engineering & Materials Science
Reinforcement learning
Engineering & Materials Science
Traffic congestion
Engineering & Materials Science
Research Output 2014 2019
Self-Improving Generative Adversarial Reinforcement Learning
Liu, Y., Zeng, Y., Chen, Y. & Tang, J., 15 May 2019.Research output: Contribution to conference › Paper › Research › peer-review
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. 725-770Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Planning
Traffic congestion
Scalability
Polynomials
Data storage equipment
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 proceeding › Conference contribution › Research
Open Access
File
Incomplete information
Constraint satisfaction problem
Bounded rationality
Common priors
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 journal › Article › Research › peer-review
Open Access
File
Planning
Decision making
Reinforcement learning
Dynamic models
Communication
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. 7397467Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
Decision making