Gokul Swamy

Gokul Swamy, a Ph.D. student at Carnegie Mellon’s Robotics Institute, dives into the intriguing world of inverse reinforcement learning. He unpacks the challenges of mimicking human decision-making without direct reinforcement signals. Topics include streamlining AI learning through expert guidance and the complexities of medical decision-making with missing data. Gokul also discusses safety in multitask learning, emphasizing the balance between efficiency and safety in AI systems. His insights pave the way for future research in enhancing AI’s learning capabilities.