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» Qualitative reinforcement learning
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NIPS
1997
13 years 9 months ago
Generalized Prioritized Sweeping
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
David Andre, Nir Friedman, Ronald Parr
BC
2008
134views more  BC 2008»
13 years 8 months ago
Interacting with an artificial partner: modeling the role of emotional aspects
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
Isabella Cattinelli, Massimiliano Goldwurm, N. Alb...
CACM
2010
105views more  CACM 2010»
13 years 8 months ago
Censored exploration and the dark pool problem
We introduce and analyze a natural algorithm for multi-venue exploration from censored data, which is motivated by the Dark Pool Problem of modern quantitative finance. We prove t...
Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, J...
JCM
2006
95views more  JCM 2006»
13 years 7 months ago
A Learning-based Adaptive Routing Tree for Wireless Sensor Networks
One of the most common communication patterns in sensor networks is routing data to a base station, while the base station can be either static or mobile. Even in static cases, a s...
Ying Zhang, Qingfeng Huang
JNW
2006
63views more  JNW 2006»
13 years 7 months ago
MAC Contention in a Wireless LAN with Noncooperative Anonymous Stations
In ad hoc wireless LANs populated by mutually impenetrable groups of anonymous stations, honest stations are prone to "bandwidth stealing" by selfish stations. The proble...
Jerzy Konorski