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» Stochastic Games with Finitary Objectives
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NIPS
2001
13 years 8 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
14 years 4 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
FSTTCS
2008
Springer
13 years 8 months ago
Solvency Games
Abstract. We study the decision theory of a maximally risk-averse investor — one whose objective, in the face of stochastic uncertainties, is to minimize the probability of ever ...
Noam Berger, Nevin Kapur, Leonard J. Schulman, Vij...
ML
2006
ACM
13 years 7 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
GLOBECOM
2009
IEEE
13 years 11 months ago
Competitive Wireless Access for Data Streaming over Vehicle-to-Roadside Communications
This paper considers the problem of optimal and competitive wireless access for data streaming over vehicleto-roadside (V2R) communication. In a service area, the onboard units (OB...
Dusit Niyato, Ekram Hossain, Ping Wang