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ECML
2004
Springer
15 years 11 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
EMSOFT
2004
Springer
15 years 11 months ago
Making mechatronic agents resource-aware in order to enable safe dynamic resource allocation
Mechatronic systems are embedded software systems with hard real-time requirements. Predictability is of paramount importance for these systems. Thus, their design has to take the...
Sven Burmester, Matthias Gehrke, Holger Giese, Sim...
GI
2004
Springer
15 years 11 months ago
A Low-Cost Solution for Frequent Symmetric Key Exchange in Ad-hoc Networks
: Next to authentication, secure key exchange is considered the most critical and complex issue regarding ad-hoc network security. We present a low-cost, (i.e. low hardware-complex...
Markus Volkmer, Sebastian Wallner
IFM
2004
Springer
175views Formal Methods» more  IFM 2004»
15 years 11 months ago
State/Event-Based Software Model Checking
Abstract. We present a framework for model checking concurrent software systems which incorporates both states and events. Contrary to other state/event approaches, our work also i...
Sagar Chaki, Edmund M. Clarke, Joël Ouaknine,...
IPSN
2004
Springer
15 years 11 months ago
Nonparametric belief propagation for self-calibration in sensor networks
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...
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