369 search results - page 24 / 74 » Global Optimization for Value Function Approximation |
ICML
1996
IEEE
14 years 22 days ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
WSC
2001
13 years 10 months ago
2001
Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
MP
2006
13 years 8 months ago
2006
We consider two-stage pure integer programs with discretely distributed stochastic right-hand sides. We present an equivalent superadditive dual formulation that uses the value fun...
IJCAI
2003
13 years 10 months ago
2003
A longstanding goal in planning research is the ability to generalize plans developed for some set of environments to a new but similar environment, with minimal or no replanning....
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...