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ICML
1998
IEEE
14 years 8 months ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman
ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
14 years 2 months ago
Equitable partitioning policies for robotic networks
Abstract— The most widely applied resource allocation strategy is to balance, or equalize, the total workload assigned to each resource. In mobile multi-agent systems, this princ...
Marco Pavone, Alessandro Arsie, Emilio Frazzoli, F...
FGCN
2008
IEEE
236views Communications» more  FGCN 2008»
14 years 2 months ago
Dimensioning of Next Generation Networks Signaling Gateway for Improving a Quality of Service Target
In this paper, we propose a set of dimensioning rules, which deliver high quality sessionbased services over a Next Generation Network based IP/MPLS transport infrastructure. In p...
Cherif Ghazel, Leila Saidane
GLOBECOM
2008
IEEE
14 years 2 months ago
Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks
— We consider the issue of fair share of the spectrum opportunity for the case of spectrum-overlay cognitive radio networks. Owing to the decentralized nature of the network, we ...
Laxminarayana S. Pillutla, Vikram Krishnamurthy
ROBIO
2006
IEEE
110views Robotics» more  ROBIO 2006»
14 years 1 months ago
Sensor Based Localization for Mobile Robots by Exploration and Selection of Best Direction
Abstract— We present a strategy for resolving multiple hypotheses of a robot’s state during global localization. The strategy operates in two stages. In the first stage a uniq...
Rakesh Goyal, K. Madhava Krishna, Shivudu Bhuvanag...