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ORCIDTodd Peterson 0001
Person information
- affiliation: Utah Valley State College, Orem, UT, USA
- affiliation (former): Brigham Young University, Provo, UT, USA
- affiliation (former): University of Alabama Tuscaloosa, AL, USA
Other persons with the same name
- Todd Peterson 0002 — General Dynamics Mission Systems, Chantilly, VA, USA
2010 – 2019
- 2014
[j7]Curtis Ray Welborn, Todd Peterson, Chris Sanchez, Bradley Hawkins:
Teaching advanced object-oriented programming techniques via a DBMS project. J. Comput. Sci. Coll. 30(2): 132-138 (2014)
2000 – 2009
- 2007
- [j6]Todd Peterson, Sean Crosby:
Teaching OS design through implementation of a simulated operating system. J. Comput. Sci. Coll. 23(1): 119-126 (2007) - 2005
- [c12]Reid Broadbent, Todd Peterson:
Robot Learning in Partially Observable, Noisy, Continuous Worlds. ICRA 2005: 4386-4393 - 2004
- [c11]Christopher K. Monson, David Wingate, Kevin D. Seppi, Todd S. Peterson:
Variable resolution discretization in the joint space. ICMLA 2004: 449-455 - 2003
- [c10]James L. Carroll, Todd S. Peterson, Kevin D. Seppi:
Reinforcement Learning Task Clustering. ICMLA 2003: 66-72 - 2002
- [c9]Ronald V. Bjarnason, Todd S. Peterson:
Multi-agent learning via implicit opponent modeling. IEEE Congress on Evolutionary Computation 2002: 1534-1539 - [c8]James L. Carroll, Todd Peterson:
Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning. ICMLA 2002: 3-8 - 2001
- [j5]Ron Sun, Edward Merrill, Todd Peterson:
From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cogn. Sci. 25(2): 203-244 (2001) - [c7]Todd S. Peterson, Nancy E. Owens, James L. Carroll:
Towards Automatic Shaping in Robot Navigation. ICRA 2001: 517-522 - [c6]Nancy Owens, Todd Peterson:
Using a reinforcement learning controller to overcome simulator/environment discrepancies. SMC 2001: 1424-1429 - [c5]Ron Sun, Todd Peterson, Chad Sessions:
Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks. WIRN 2001: 288-300
1990 – 1999
- 1999
- [j4]Ron Sun, Todd Peterson, Edward Merrill:
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making. Appl. Intell. 11(1): 109-127 (1999) - [j3]Ron Sun, Todd Peterson:
Multi-agent reinforcement learning: weighting and partitioning. Neural Networks 12(4-5): 727-753 (1999) - [c4]Ron Sun, Todd Peterson:
Partitioning in reinforcement learning. IJCNN 1999: 2259-2264 - 1998
- [j2]Ron Sun, Todd Peterson:
Some Experiments with a Hybrid Model for Learning Sequential Decision Making. Inf. Sci. 111(1-4): 83-107 (1998) - [j1]Ron Sun, Todd Peterson:
Autonomous learning of sequential tasks: experiments and analyses. IEEE Trans. Neural Networks 9(6): 1217-1234 (1998) - [c3]Ron Sun, Todd Peterson:
Automatic Partitioning for Multi-Agent Reinforcement Learning. ICONIP 1998: 268-271 - 1997
- [c2]Ron Sun, Todd Peterson:
A hybrid model for learning sequential navigation. CIRA 1997: 234-239 - 1996
- [c1]Ron Sun, Todd Peterson:
Learning in reactive sequential decision tasks: the CLARION model. ICNN 1996: 1073-1078
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