This report, prepared for the Computer Science Laboratory at SRI International, covers the development of a Learning component for PAGODA, a modular architecture for goal directed agents that explore an environment without need for constant commands from an operator. Two learning algorithms are presented and our algorithm implementations analyzed. The report highlights the changes made to PAGODA and the development challenges encountered. Additionally, several potential improvements to the PAGODA system are given.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Lourenco, Abraao N.
• Floyd, Stuart H.
• Casavant, David N.

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032406-153301

Advisor

• Finkel, David

Year

• 2006

Center

• Silicon Valley, California Project Center - MQP

Sponsor

• SRI International

Date created

• 2006-03-24

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright