995 search results - page 19 / 199 » Learning Useful Horn Approximations |
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Residual gradient (RG) was proposed as an alternative to TD(0) for policy evaluation when function approximation is used, but there exists little formal analysis comparing them ex...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
CCIA
2005
Springer
14 years 3 months ago
2005
Springer
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
AAAI
2006
13 years 11 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...