Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Due to the dramatic increase in design complexity, verifying the functional correctness of a circuit is becoming more difficult. Therefore, bugs may escape all verification effo...
This paper presents an agent strategy for complex bilateral negotiations over many issues with inter-dependent valuations. We use ideas inspired by graph theory and probabilistic ...
Valentin Robu, D. J. A. Somefun, Johannes A. La Po...
The architecture of a software system has a significant impact on its quality of service (QoS) as measured by several performance metrics such as execution time, availability, th...