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248
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IWSOS
2011
Springer
14 years 5 months ago
Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes
Abstract This paper depicts and evaluates an evolutionary design process for generating a complex self-organizing multicellular system based on Cellular Automata (CA). We extend th...
Wilfried Elmenreich, István Fehérv&a...
113
Voted
FLAIRS
1998
15 years 4 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
101
Voted
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 9 months ago
A novel method for learning policies from constrained motion
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
119
Voted
TSMC
2008
229views more  TSMC 2008»
15 years 2 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
138
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PKC
2009
Springer
210views Cryptology» more  PKC 2009»
16 years 3 months ago
Controlling Access to an Oblivious Database Using Stateful Anonymous Credentials
In this work, we consider the task of allowing a content provider to enforce complex access control policies on oblivious protocols conducted with anonymous users. As our primary ...
Scott E. Coull, Matthew Green, Susan Hohenberger