In the Auton lab, we focus on machine learning, especially data mining, reinforcement learning, control and logistics. Today information is processed in a huge variety of places, ranging from humble thermostats, traffic lights and TV remote controls up to continuous-flow manufacturing processes, packaging machines, truck routers, car engine management systems and plant management consoles. Here’s what we find exciting: Imagine a future where all these systems have the computational power of a thousand Deep Blue chess search engines. The hardware and infrastructure for this future are not unthinkably far off. We are concerned with the computer science of exploiting this power.
Displaying 73 Publications
2005
PhD Thesis, Tech. Report, CMU-RI-TR-06-01, Robotics Institute, Carnegie Mellon University, December, 2005
Tech. Report, CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 691 - 198, December, 2005
Conference Paper, Proceedings of International Conference on Intelligence Analysis (IA '05), May, 2005
Tech. Report, CMU-RI-TR-05-27, Robotics Institute, Carnegie Mellon University, May, 2005
Tech. Report, CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005
2004
Tech. Report, CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004
Tech. Report, CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004
Conference Paper, Proceedings of 10th ACM SIGKDD International Conference on Knowledge Discovery and Data mining (KDD '04), pp. 40 - 48, August, 2004
Tech. Report, CMU-RI-TR-04-34, Robotics Institute, Carnegie Mellon University, May, 2004
current head
current past
current contact
past staff
- Leemon Baird
- Michael J Baysek
- Justin Boyan
- Pak Yan Choi
- David Cohn
- Scott Davies
- Adam G Goode
- Geoffrey Gordon
- Pat Gunn
- Paul Komarek
- Remi Munos
- Ellie Lin Ratliff
- Alice X Zheng