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 Xun Li and Risto Miikkulainen In AAAI-18 Workshop for Imperfect Information Games, New Orleans, LA, USA, 2018. 2018

Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks Xun Li and Risto Miikkulainen In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Ja... 2018

Evolving Adaptive Poker Players for Effective Opponent Exploitation Xun Li and Risto Miikkulainen In AAAI-17 Workshop on Computer Poker and Imperfect Information Games, San Francisco, CA, USA... 2017

Evolving Artificial Language Through Evolutionary Reinforcement Learning Xun Li and Risto Miikkulainen In Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Livin... 2016

Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Xun Li and Risto Miikkulainen In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Livi... 2014