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111
Voted
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
14 years 10 months ago
Observational learning in an uncertain world
We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
126
Voted
ICMI
2004
Springer
183views Biometrics» more  ICMI 2004»
15 years 9 months ago
Agent and library augmented shared knowledge areas (ALASKA)
This paper reports on an NSF-funded effort now underway to integrate three learning technologies that have emerged and matured over the past decade; each has presented compelling ...
Eric R. Hamilton
154
Voted
ESAW
2009
Springer
15 years 10 months ago
A Space-Based Generic Pattern for Self-Initiative Load Balancing Agents
Abstract. Load-Balancing is a significant problem in heterogeneous distributed systems. There exist many load balancing algorithms, however, most approaches are very problem speci...
eva Kühn, Vesna Sesum-Cavic
132
Voted
AAAI
1992
15 years 4 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
AAAI
2008
15 years 5 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...