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AI
1998
Springer
13 years 9 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
ICMLA
2009
13 years 7 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ICSOC
2009
Springer
13 years 7 months ago
Lightweight Composition of Ad-Hoc Enterprise-Class Applications with Context-Aware Enterprise Mashups
The huge demand for ad-hoc and situational enterprise-class applications led to a new kind of Web-based applications, known as enterprise mashups. End users from the business units...
Florian Gilles, Volker Hoyer, Till Janner, Katarin...
POPL
2001
ACM
14 years 10 months ago
Secure safe ambients
Secure Safe Ambients (SSA) are a typed variant of Safe Ambients [9], whose type system allows behavioral invariants of ambients to be expressed and verified. The most significant a...
Michele Bugliesi, Giuseppe Castagna
PADL
2007
Springer
14 years 4 months ago
BAD, a Declarative Logic-Based Language for Brain Modeling
Abstract. We describe a declarative language, called BAD (brain architecture description language), which we have developed for describing and then running brain models. Models are...
Alan H. Bond