704 search results - page 21 / 141 » Learning the Ideal Evaluation Function |
116
Voted
EAAI
2006
14 years 9 months ago
2006
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
IFL
2004
Springer
15 years 3 months ago
2004
Springer
Landin’s SECD machine was the first abstract machine for the λ-calculus viewed as a programming language. Both theoretically as a model of computation and practically as an ide...
CIARP
2006
Springer
14 years 11 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
NIPS
1994
14 years 11 months ago
1994
This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...