Portrait of Jeff Schneider
Research Professor
Office: 3117 Newell-Simon Hall
Phone: (412) 268-2339
Administrative Assistant: Ashlyn Lacovara
Mailing Address

My research is in active learning, data mining, reinforcement learning, optimization, and intelligent control. My efforts are focused on the application of these methods to real world industrial and commercial problems.

Displaying 158 Publications

2024
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, pp. 14785-14791, May, 2024
Siddharth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff Schneider, and Glen Berseth
Conference Paper, Proceedings of (ICLR) International Conference on Learning Representations, May, 2024
2022
Conference Paper, Proceedings of (ICML) International Conference on Machine Learning, pp. 22270 - 22283, July, 2022
Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff Schneider, and Howie Choset
Journal Article, IEEE Robotics and Automation Letters, Vol. 7, No. 2, pp. 890 - 897, April, 2022
2021
Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff Schneider, and Howie Choset
Journal Article, IEEE Robotics and Automation Letters, December, 2021
Workshop Paper, Offline Reinforcement Learning, December, 2021
Zhiqian Qiao, Jeff Schneider, and John M. Dolan
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, pp. 2667 - 2673, June, 2021
2020
Workshop Paper, NeurIPS '20 Offline Reinforcement Learning Workshop, December, 2020
Zhiqian Qiao, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, and John M. Dolan
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 6084 - 6089, October, 2020
Zhiqian Qiao, Jing Zhao, Jin Zhu, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, and John M. Dolan
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, pp. 10570 - 10576, May, 2020