Todd Peterson - researchr alias

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Viewing Publication 1 - 14 from 14

2017

Product Line Engineering Meets Model Based Engineering in the Defense and Automotive IndustriesBobbi Young, Judd Cheatwood, Todd Peterson, Rick Flores, Paul C. Clements. SPLC 2017: 175-179 [doi]

2005

Robot Learning in Partially Observable, Noisy, Continuous WorldsReid Broadbent, Todd Peterson. icra 2005: 4386-4393

2002

Fixed vs. Dynamic Sub-Transfer in Reinforcement LearningJames L. Carroll, Todd Peterson. icmla 2002: 3-8

2001

Using a reinforcement learning controller to overcome simulator/environment discrepanciesNancy Owens, Todd Peterson. SMC 2001: 1424-1429 [doi]

From implicit skills to explicit knowledge: a bottom-up model of skill learningRon Sun, Edward Merrill, Todd Peterson. cogsci, 25(2):203-244, 2001. [doi]

Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural NetworksRon Sun, Todd Peterson, Chad Sessions. wirn 2002: 288-300 [doi]

1999

Multi-agent reinforcement learning: weighting and partitioningRon Sun, Todd Peterson. NN, 12(4-5):727-753, 1999. [doi]

A Hybrid Architecture for Situated Learning of Reactive Sequential Decision MakingRon Sun, Todd Peterson, Edward Merrill. apin, 11(1):109-127, 1999.

Partitioning in reinforcement learningRon Sun, Todd Peterson. ijcnn 1999: 2259-2264 [doi]

1998

Automatic Partitioning for Multi-Agent Reinforcement LearningRon Sun, Todd Peterson. iconip 1998: 268-271

Some Experiments with a Hybrid Model for Learning Sequential Decision MakingRon Sun, Todd Peterson. isci, 111(1-4):83-107, 1998.

Autonomous learning of sequential tasks: experiments and analysesRon Sun, Todd Peterson. tnn, 9(6):1217-1234, 1998. [doi]

1997

A hybrid model for learning sequential navigationRon Sun, Todd Peterson. cira 1997: 234-239 [doi]

1996

Learning in reactive sequential decision tasks: the CLARION modelRon Sun, Todd Peterson. icnn 1996: 1073-1078 [doi]

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