9 search results - page 1 / 2 » Monte-Carlo Go Reinforcement Learning Experiments |
CIG
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
ICRA
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
ACG
2003
Springer
13 years 10 months ago
2003
Springer
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...