In ECE 693B, we will gain solid theoretical understanding 📝 of reinforcement learning (RL) and get hands-on experiences 💻 of applying RL to research projects.
ECE 693B is structured as a sequential series of modules, each taking approximately one to two weeks to complete. Each module has the following structure:
Yuanzhang Xiao is an Associate Professor in Hawaii Advanced Wireless Technologies Institute at the University of Hawaii. His research interests include reinforcement learning, game theory, and more recently, large language models, with applications to wireless communications, smart grids, recommender systems, and business resilience.