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TON
2008
139views more  TON 2008»
13 years 6 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
ATAL
2010
Springer
13 years 7 months ago
Joint process games: from ratings to wikis
We introduce a game setting called a joint process, where the history of actions determine the state, and the state and agent properties determine the payoff. This setting is a sp...
Michael Munie, Yoav Shoham
AAAI
2008
13 years 8 months ago
Achieving Cooperation in a Minimally Constrained Environment
We describe a simple environment to study cooperation between two agents and a method of achieving cooperation in that environment. The environment consists of randomly generated ...
Steven Damer, Maria L. Gini
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
13 years 12 months ago
Game Theoretic Control for Robot Teams
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
IJCAI
2001
13 years 7 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