121 search results - page 20 / 25 » Learning Decision Theoretic Utilities through Reinforcement ... |
ATAL
2004
Springer
15 years 2 months ago
2004
Springer
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...
AIPS
2008
14 years 11 months ago
2008
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
CSE
2009
IEEE
15 years 4 months ago
2009
IEEE
—When the Internet was conceived, its fundamental operation was envisioned to be point-to-point communication allowing anybody to talk directly to anybody. With its increasing su...