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233views
12 years 5 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
CDC
2009
IEEE
131views Control Systems» more  CDC 2009»
13 years 11 months ago
An algebraic approach for the NCE principle with massive subpopulations
— We study large population stochastic dynamic games where each agent receives influences from multi-classes of agents according to intra- and inter-subpopulation cost coupling....
Minyi Huang
ICC
2011
IEEE
205views Communications» more  ICC 2011»
12 years 6 months ago
Decentralized Cross-Tier Interference Mitigation in Cognitive Femtocell Networks
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
Mehdi Bennis, Samir Medina Perlaza
SIAMCOMP
2010
174views more  SIAMCOMP 2010»
13 years 5 months ago
On the Complexity of Nash Equilibria and Other Fixed Points
We reexamine what it means to compute Nash equilibria and, more generally, what it means to compute a fixed point of a given Brouwer function, and we investigate the complexity o...
Kousha Etessami, Mihalis Yannakakis
ATAL
2007
Springer
14 years 27 days ago
Advice taking in multiagent reinforcement learning
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Michael Rovatsos, Alexandros Belesiotis