Todd Peterson

According to our database, Todd Peterson authored at least 19 papers between 1996 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Teaching advanced object-oriented programming techniques via a DBMS project.

Curtis Ray Welborn, Todd Peterson, Chris Sanchez, Bradley Hawkins

J. Comput. Sci. Coll., 2014

2007

Teaching OS design through implementation of a simulated operating system.

Todd Peterson, Sean Crosby

J. Comput. Sci. Coll., 2007

2005

Robot Learning in Partially Observable, Noisy, Continuous Worlds.

Reid Broadbent, Todd Peterson

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004

Variable resolution discretization in the joint space.

Christopher K. Monson, David Wingate, Kevin D. Seppi, Todd S. Peterson

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

2003

Reinforcement Learning Task Clustering.

James L. Carroll, Todd S. Peterson, Kevin D. Seppi

Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

2002

Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning.

James L. Carroll, Todd Peterson

Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Multi-agent learning via implicit opponent modeling.

Ronald V. Bjarnason, Todd S. Peterson

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

From implicit skills to explicit knowledge: a bottom-up model of skill learning.

Ron Sun, Edward Merrill, Todd Peterson

Cogn. Sci., 2001

Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks.

Ron Sun, Todd Peterson, Chad Sessions

Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Using a reinforcement learning controller to overcome simulator/environment discrepancies.

Nancy Owens, Todd Peterson

Proceedings of the IEEE International Conference on Systems, 2001

Towards Automatic Shaping in Robot Navigation.

Todd S. Peterson, Nancy E. Owens, James L. Carroll

Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

1999

Multi-agent reinforcement learning: weighting and partitioning.

Ron Sun, Todd Peterson

Neural Networks, 1999

A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making.

Ron Sun, Todd Peterson, Edward Merrill

Appl. Intell., 1999

Partitioning in reinforcement learning.

Ron Sun, Todd Peterson

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Autonomous learning of sequential tasks: experiments and analyses.

Ron Sun, Todd Peterson

IEEE Trans. Neural Networks, 1998

Some Experiments with a Hybrid Model for Learning Sequential Decision Making.

Ron Sun, Todd Peterson

Inf. Sci., 1998

Automatic Partitioning for Multi-Agent Reinforcement Learning.

Ron Sun, Todd Peterson

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

A hybrid model for learning sequential navigation.

Ron Sun, Todd Peterson

Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1996

Learning in reactive sequential decision tasks: the CLARION model.

Ron Sun, Todd Peterson

Proceedings of International Conference on Neural Networks (ICNN'96), 1996