Hossein Abdi

Ph.D. student in Computer Science (Machine Learning and Robotics) at The University of Manchester, with research interests in second-order optimization, policy gradient reinforcement learning, control theory, and robotics. I hold M.Sc. and B.Sc. degrees in Mechanical Engineering from Sharif University of Technology, with a focus on robotics and control theory. My current Ph.D. research focuses on Kalman-based methods for recursively estimating the natural policy gradient, with the goal of enabling efficient and scalable second-order optimization in reinforcement learning.