995 search results - page 19 / 199 » Learning Useful Horn Approximations |
139
Voted
GECCO
2008
Springer
15 years 4 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...
116
Voted
ICML
2008
IEEE
16 years 4 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...
148
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ICPR
2008
IEEE
16 years 4 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 ...
124
Voted
CCIA
2005
Springer
15 years 9 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...
112
Voted
AAAI
2006
15 years 5 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 ...