About
Linjie Xu is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on artificial intelligence, particularly in reinforcement learning, machine learning, and game-playing algorithms. Key interests include state abstraction techniques, multi-agent systems, Monte Carlo tree search, and adversarial defense mechanisms for large language models.
His academic work spans strategy game AI, optimization algorithms, and computational game theory. Xu has contributed to advancing sample-efficient methods in multi-agent reinforcement learning and developing elastic Monte Carlo tree search frameworks. His recent publications emphasize practical applications of state abstraction and cross-domain decision transformers.
No scientific awards or grants are explicitly mentioned in the provided materials. He currently holds no listed advisees or doctoral students. Contact him at linjie.xu@qmul.ac.uk for collaboration opportunities.
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