Todd Peterson

15 papers A* 1B 3C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2014 J jnl
Teaching advanced object-oriented programming techniques via a DBMS project.
J. Comput. Sci. Coll.
Curtis Ray Welborn, Todd Peterson, Chris Sanchez, Bradley Hawkins
2007 J jnl
Teaching OS design through implementation of a simulated operating system.
J. Comput. Sci. Coll.
Todd Peterson, Sean Crosby
2005 A* conf
Robot Learning in Partially Observable, Noisy, Continuous Worlds.
ICRA
Reid Broadbent, Todd Peterson
2002 C conf
Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning.
ICMLA
James L. Carroll, Todd Peterson
2001 — conf
Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks.
WIRN
Ron Sun, Todd Peterson, Chad Sessions
2001 J jnl
From implicit skills to explicit knowledge: a bottom-up model of skill learning.
Cogn. Sci.
Ron Sun, Edward Merrill, Todd Peterson
2001 B conf
Using a reinforcement learning controller to overcome simulator/environment discrepancies.
SMC
Nancy Owens, Todd Peterson
1999 J jnl
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making.
Appl. Intell.
Ron Sun, Todd Peterson, Edward Merrill
1999 J jnl
Multi-agent reinforcement learning: weighting and partitioning.
Neural Networks
Ron Sun, Todd Peterson
1999 B conf
Partitioning in reinforcement learning.
IJCNN
Ron Sun, Todd Peterson
1998 B conf
Automatic Partitioning for Multi-Agent Reinforcement Learning.
ICONIP
Ron Sun, Todd Peterson
1998 J jnl
Autonomous learning of sequential tasks: experiments and analyses.
IEEE Trans. Neural Networks
Ron Sun, Todd Peterson
1998 J jnl
Some Experiments with a Hybrid Model for Learning Sequential Decision Making.
Inf. Sci.
Ron Sun, Todd Peterson
1997 — conf
A hybrid model for learning sequential navigation.
CIRA
Ron Sun, Todd Peterson
1996 — conf
Learning in reactive sequential decision tasks: the CLARION model.
ICNN
Ron Sun, Todd Peterson