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ATAL
2007
Springer
15 years 4 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
ATAL
2007
Springer
15 years 4 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
CRYPTO
2005
Springer
15 years 3 months ago
2005
Springer
Broadcast encryption schemes allow a message sender to broadcast an encrypted data so that only legitimate receivers decrypt it. Because of the intrinsic nature of one-to-many comm...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
In this paper we incorporate autonomous agents' capability to perform parallel interactions into the cooperative search model, resulting in a new method which outperforms the...
EMSOFT
2008
Springer
14 years 11 months ago
2008
Springer
The Simulink/Stateflow (SL/SF) environment from Mathworks is becoming the de facto standard in industry for model based development of embedded control systems. Many commercial to...