181 search results - page 19 / 37 » State Space Reduction For Hierarchical Reinforcement Learnin... |
BROADNETS
2004
IEEE
13 years 11 months ago
2004
IEEE
The scarcity and large fluctuations of link bandwidth in wireless networks have motivated the development of adaptive multimedia services in mobile communication networks, where i...
ASE
2004
13 years 7 months ago
2004
The verification of concurrent systems through an exhaustive traversal of the state space suffers from the infamous state-space-explosion problem, caused by the many interleavings ...
RAS
2010
13 years 5 months ago
2010
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
WAPCV
2007
Springer
14 years 1 months ago
2007
Springer
The innovation of this work is the provision of a system that learns visual encodings of attention patterns and that enables sequential attention for object detection in real world...