Summary
Zhiyuan Li is a postdoctoral research fellow at Aalto University with eight years of experience in deep reinforcement learning and multi-agent systems, focused on autonomous agents that learn continuously and collaborate robustly. He completed his Ph.D. in computer science in 2024 and has published at top venues including AAAI and Neural Networks, applying his work to dynamic decision-making and network optimization. Having spent a prior year as a visiting researcher at Aalto Robot Learning Lab, he bridges theoretical RL, imitation learning, and robotics to build agents that perceive, learn from, and adapt to changing environments. Deeply interested in generalization and zero-shot coordination, he aims to advance integrative approaches toward more general artificial intelligence.
8 years of coding experience
1 year of employment as a software developer
Bachelor's, Computer Science, Bachelor's, Computer Science at North China Electric Power University
Ph.D., Computer Science, Ph.D., Computer Science at University of Electronic Science and Technology of China