2031 search results - page 44 / 407 » Approximation Algorithms for 2-Stage Stochastic Optimization... |
ICAART
2010
INSTICC
14 years 5 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
CIAC
2010
Springer
13 years 11 months ago
2010
Springer
The study of simple stochastic games (SSGs) was initiated by Condon for analyzing the computational power of randomized space-bounded alternating Turing machines. The game is play...
JC
2006
13 years 8 months ago
2006
We study the optimal approximation of the solution of an operator equation A(u) = f by four types of mappings: a) linear mappings of rank n; b) n-term approximation with respect t...
DAGSTUHL
2004
13 years 9 months ago
2004
We study the optimal approximation of the solution of an operator equation A(u) = f by four types of mappings: a) linear mappings of rank n; b) n-term approximation with respect t...