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AIIDE
2006
13 years 6 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
AAAI
1993
13 years 6 months ago
Numerical Behavior Envelopes for Qualitative Models
Semiquantitative models combine both qualitative and quantitative knowledge within a single semiquantitative qualitative differential equation (SQDE) representation. With current ...
Herbert Kay, Benjamin Kuipers
AAAI
2006
13 years 6 months ago
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Yaxin Liu, Peter Stone
COOPIS
2002
IEEE
13 years 9 months ago
PROLOG/RDBMS Integration in the NED Intelligent Information System
Abstract. The following paper describes recent work on NED-2, an intelligent information system for ecosystem management currently in development by the USDA Forest Service. Using ...
Frederick Maier, Donald Nute, Walter D. Potter, Ji...
ITS
2010
Springer
176views Multimedia» more  ITS 2010»
13 years 6 months ago
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...