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ICML
2010
IEEE
14 years 10 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
76
Voted
CHI
2009
ACM
15 years 10 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
94
Voted
NIPS
2008
14 years 11 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
261
Voted

Book
2028views
16 years 5 months ago
TCL Wise - Guide to the TCL Programming Language
"this book is an introduction to the main ideas of the Tcl programming language: If you wish to learn a simple and powerful programming language, this book is for you. To read...
Salvatore Sanfilippo
SI3D
1992
ACM
15 years 1 months ago
3DM: A Three Dimensional Modeler Using a Head-Mounted Display
3dm is a three dimensional (3D) surface modeling program that draws techniques of model manipulation from both CAD and drawing programs and applies them to modeling in an intuitiv...
Jeff Butterworth, Andrew Davidson, Stephen Hench, ...