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COLT
1994
Springer
13 years 12 months ago
Efficient Reinforcement Learning
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
Claude-Nicolas Fiechter
COLING
2010
13 years 2 months ago
Bringing Active Learning to Life
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Ines Rehbein, Josef Ruppenhofer, Alexis Palmer
ICML
2009
IEEE
14 years 8 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
14 years 1 months ago
A Neural Network Based Adaptive Algorithm for Multimedia Quality Fairness in WLAN Environments
This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using...
Chiapin Wang, Tsungnan Lin
ATAL
2005
Springer
13 years 9 months ago
Rockwell automation agents for manufacturing
The paper provides an overview of the agent-based solutions developed by the Rockwell Automation company for the purposes of industrial control. Using agent-based manufacturing co...
Vladimír Marík, Pavel Vrba, Kenwood ...