Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Emulation plays a central role in the performance evaluation, capacity planning, and workload characterization of servers and data centers. Emulation tools usually require develop...
Hani Jamjoom, Chang-Hao Tsai, Kang G. Shin, Sharad...
The use of dynamic access control policies for threat response adapts local response decisions to high level system constraints. However, security policies are often carefully tigh...
Background: Complex diseases are multifactorial traits caused by both genetic and environmental factors. They represent the major part of human diseases and include those with lar...
Roberto Amato, Michele Pinelli, Daniel D'Andrea, G...