Jeff Schneider

Jeff Schneider is a Research Professor at the Robotics Institute within the School of Computer Science at Carnegie Mellon University. His research focuses on active learning, data mining, reinforcement learning, optimization, and intelligent control, applied to industrial and commercial challenges.

• Current PhD Students: Anoushka Alavilli, Benjamin Freed, Tejus Gupta, Albert Xu, Brian Yang
• Current Masters Students: Wen-Tse Chen, Xintong Duan, Aman Mehra, Vedant Mundheda, Zhouchonghao Wu
• Past PhD Students: J. Andrew Bagnell, Viraj Mehta, Matthew Tesch
• Past Masters Students: Ravi Tej Akella, Swapnil Pande, Siddharth Venkatraman

Schneider's research bridges machine learning and autonomous systems, particularly in reinforcement learning, multi-robot coordination, and self-driving car technology. His work emphasizes practical applications of learning algorithms in real-world scenarios.

His recent publications highlight advancements in offline reinforcement learning, multi-agent policy coordination, and behavior planning for autonomous vehicles. These studies often integrate deep learning and probabilistic modeling to address complex control and decision-making problems.

Labs:

• Auton Lab
• CMU Center for Autonomous Vehicle Research

Consulting & Industry Impact: Schneider has consulted for organizations like Uber ATG, Psychogenics, and Schenley Park Research, applying machine learning to domains such as self-driving cars, nuclear fusion, marketing, and drug discovery.