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CORR
2008
Springer
172views Education» more  CORR 2008»
13 years 9 months ago
Altruism in Congestion Games
This paper studies the effects of introducing altruistic agents into atomic congestion games. Altruistic behavior is modeled by a trade-off between selfish and social objectives. ...
Martin Hoefer, Alexander Skopalik
CORR
2007
Springer
73views Education» more  CORR 2007»
13 years 8 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 14 days ago
Power Allocation in Team Jamming Games in Wireless Ad Hoc Networks
In this work, we study the problem of power allocation in teams. Each team consists of two agents who try to split their available power between the tasks of communication and jam...
Sourabh Bhattacharya, Ali Khanafer, Tamer Basar
CORR
2010
Springer
182views Education» more  CORR 2010»
13 years 9 months ago
The Hitchhiker's Guide to Affiliation Networks: A Game-Theoretic Approach
We propose a new class of game-theoretic models for network formation in which strategies are not directly related to edge choices, but instead correspond more generally to the ex...
Christian Borgs, Jennifer T. Chayes, Jian Ding, Br...
IJCAI
2001
13 years 10 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz