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» Progressive Optimization in Action
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IIE
2007
63views more  IIE 2007»
15 years 4 months ago
Investigation of Q-Learning in the Context of a Virtual Learning Environment
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...
Dalia Baziukaite
ML
1998
ACM
15 years 4 months ago
Conjectural Equilibrium in Multiagent Learning
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
Michael P. Wellman, Junling Hu
148
Voted
CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 8 months ago
Doubly Robust Policy Evaluation and Learning
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
Miroslav Dudík, John Langford, Lihong Li
139
Voted
ATAL
2011
Springer
14 years 4 months ago
Maximum causal entropy correlated equilibria for Markov games
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey
134
Voted
NSDI
2010
15 years 2 months ago
AccuRate: Constellation Based Rate Estimation in Wireless Networks
This paper proposes to exploit physical layer information towards improved rate selection in wireless networks. While existing schemes pick good transmission rates, this paper tak...
Souvik Sen, Naveen Santhapuri, Romit Roy Choudhury...