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» A Finite State Mobile Agent Computation Model
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ATAL
2006
Springer
15 years 1 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
ICANN
2005
Springer
15 years 3 months ago
Reinforcement Learning in MirrorBot
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
MTA
2011
220views Hardware» more  MTA 2011»
14 years 4 months ago
Modeling, simulation, and practice of floor control for synchronous and ubiquitous collaboration
: With the advances in a variety of software/hardware technologies and wireless networking, there is coming a need for ubiquitous collaboration which allows people to access inform...
Kangseok Kim, Geoffrey C. Fox
MOVEP
2000
136views Hardware» more  MOVEP 2000»
15 years 1 months ago
UPPAAL - Now, Next, and Future
Uppaal is a tool for modeling, simulation and verification of real-time systems, developed jointly by BRICS at Aalborg University and the Department of Computer Systems at Uppsala ...
Tobias Amnell, Gerd Behrmann, Johan Bengtsson, Ped...
CONEXT
2007
ACM
15 years 1 months ago
BonSwing: A GUI framework for ad-hoc applications using service discovery
In typical single-link 802.11 ad-hoc networks, devices often move from one network to the next, forming transitory associations without a fixed support infrastructure. The state i...
Suman Srinivasan, Henning Schulzrinne