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ICMLA
2009
13 years 5 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
EMSOFT
2006
Springer
13 years 11 months ago
Analysis of the zeroconf protocol using UPPAAL
We report on a case study in which the model checker Uppaal is used to formally model parts of Zeroconf, a protocol for dynamic configuration of IPv4 link-local addresses that has...
Biniam Gebremichael, Frits W. Vaandrager, Miaomiao...
AIIDE
2009
13 years 9 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
DAC
2008
ACM
14 years 8 months ago
Partial order reduction for scalable testing of systemC TLM designs
A SystemC simulation kernel consists of a deterministic implementation of the scheduler, whose specification is nondeterministic. To leverage testing of a SystemC TLM design, we f...
Sudipta Kundu, Malay K. Ganai, Rajesh Gupta
CHI
2011
ACM
12 years 11 months ago
Collaborative creativity: a complex systems model with distributed affect
The study of creativity has received significant attention over the past century, with a recent increase in interest in collaborative, distributed creativity. We posit that creati...
Cecilia R. Aragon, Alison Williams