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AI
1998
Springer
14 years 10 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
94
Voted
JAIR
2002
122views more  JAIR 2002»
14 years 10 months ago
Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems
Much work in AI deals with the selection of proper actions in a given (known or unknown) environment. However, the way to select a proper action when facing other agents is quite ...
Moshe Tennenholtz
94
Voted
NAR
2002
141views more  NAR 2002»
14 years 10 months ago
Co-expression pattern from DNA microarray experiments as a tool for operon prediction
The prediction of operons, the smallest unit of transcription in prokaryotes, is the first step towards reconstruction of a regulatory network at the whole genome level. Sequence ...
Chiara Sabatti, Lars Rohlin, Min-Kyu Oh, James C. ...
102
Voted
PE
2010
Springer
140views Optimization» more  PE 2010»
14 years 8 months ago
KPC-Toolbox: Best recipes for automatic trace fitting using Markovian Arrival Processes
We present the KPC-Toolbox, a library of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way based on the recently proposed Kro...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
TASLP
2011
14 years 5 months ago
A Generative Student Model for Scoring Word Reading Skills
—This paper presents a novel student model intended to automate word-list-based reading assessments in a classroom setting, specifically for a student population that includes b...
Joseph Tepperman, Sungbok Lee, Shrikanth Narayanan...