Machine Learning

Reservior computing

Reservoir Computing (RC) is a simple and efficient model-free framework for forecasting the behavior of nonlinear dynamical systems from data. I am interested in understanding the success as well as identifying limitations of RC.

• Y. Zhang and S. P. Cornelius, A catch-22 of reservoir computing, arXiv:2210.10211

Reinforcement learning

Can we use reinforcement learning (RL) to improve synchronization? Would the solutions found by RL be interpretable?

• Z. Chen, T. Anglea, Y. Zhang and Y. Wang, Optimal synchronization in pulse-coupled oscillator networks using reinforcement learning, PNAS Nexus 2, pgad102 (2023)