James A. Reggia
My research interests are in the interrelated areas of AI, machine learning, robotics,
machine consciousness, and neural networks.
Recent work has focused on imitation learning in robotics, neurocognitive systems,
programmable neural networks, high-level motor control, computational correlates
of consciousness, and cause-effect reasoning.
Some Recently Taught Courses
CMSC 289I: Rise of the Machines - Fall 2016
CMSC 389F: Reinforcement Learning (advisor) - Fall 2018
CMSC 421: Introduction to Artificial Intelligence - Fall 2021
CMSC 422: Introduction to Machine Learning - Spring 2020
CMSC 727: Neural Computation - Spring 2022
CMSC 828Q: Nature-Inspired Computing - Fall 2019