69 search results - page 5 / 14 » A semi-dependent decomposition approach to learn hierarchica... |
CIG
2005
IEEE
14 years 1 months ago
2005
IEEE
Real-Time Strategy games present an interesting problem domain for Artificial Intelligence research. We review current approaches to developing AI systems for such games, noting th...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
NPL
2006
13 years 7 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
AGENTS
2001
Springer
13 years 12 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...