Xun Li
Ph.D. Student
Xun is a Ph.D. student in the Neural Network Research Group at the University of Texas at Austin. His research focuses on biologically inspired Artificial Intelligence/Machine Learning. Specifically, Xun's research interest includes Neuroevolution, Evolutionary Computation, Artificial Life, Robotics, and Cognitive Science. He is currently working on optimization and application of evolutionary computation algorithms.
Dynamic Adaptation and Opponent Exploitation in Computer Poker 2018
Xun Li and Risto Miikkulainen, AAAI-18 Workshop for Imperfect Information Games (2018).
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks 2018
Xun Li and Risto Miikkulainen, In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, July 2018. ACM.
Evolving Adaptive Poker Players for Effective Opponent Exploitation 2017
Xun Li and Risto Miikkulainen, Technical Reports of the Thirty-first AAAI Conference of Artificial Intelligence (AAAI-17) (2017).
Evolving Artificial Language Through Evolutionary Reinforcement Learning 2016
Xun Li and Risto Miikkulainen, Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (2016). MIT Press.
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks 2014
Xun Li and Risto Miikkulainen, In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) 2014.
Currently affiliated with Neural Networks