2354 search results - page 119 / 471 » Randomness, Stochasticity and Approximations |
UAI
2001
13 years 10 months ago
2001
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
AAAI
2000
13 years 10 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
CDC
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
WSC
2008
13 years 11 months ago
2008
Mathematical models are often described by multivariate functions, which are usually approximated by a sum of lower dimensional functions. A major problem is the approximation err...
NIPS
1993
13 years 10 months ago
1993
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...