453 search results - page 77 / 91 » Learning from actions not taken: a multiagent learning algor... |
MLDM
2009
Springer
15 years 2 months ago
2009
Springer
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
88
Voted
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
AI
2006
Springer
15 years 1 months ago
2006
Springer
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...
ECCV
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. This paper presents an exemplar-based approach to detecting and localizing human actions, such as running, cycling, and swinging, in realistic videos with dynamic backgro...
JAIR
2011
14 years 4 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...