Computer Science Ph.D. student Misagh Soltani is passionate about artificial intelligence. As a graduate researcher at the Artificial Intelligence Institute of USC (AIISC), he channels his passion into furthering model-based deep reinforcement learning. It is work he hopes will make tasks easier and information more accessible for the betterment of society.

Reinforcement learning is a branch of machine learning where an agent interacts with an environment and learns, through trial and error, how to make decisions to efficiently achieve the desired goals. Reinforcement learning approaches can be used in a variety of domains from manufacturing, where it optimizes robot motion and automation, to the natural sciences. Read the full story here.