Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Good cardinality estimates are critical for generating good execution plans during query optimization. Complex predicates, correlations between columns, and user-defined functions...
Management in pervasive systems cannot rely on human intervention or centralised decision-making functions. It must be devolved, based on local decision-making and feedback contro...
Alberto E. Schaeffer Filho, Emil C. Lupu, Naranker...
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
We study the performance of TCP in an internetwork consisting of both rate-controlled and non-rate-controlled segments. A commonexample of such an environment occurs when the end ...
Lampros Kalampoukas, Anujan Varma, K. K. Ramakrish...