Results 1 to 10 of about 5,277,294 (228)
Multi-Robot Searching using Game- Theory Based Approach
This paper proposes a game-theory based approach in a multi?target searching using a multi-robot system in a dynamic environment. It is assumed that a rough priori probability map of the targets' distribution within the environment is given.
Yan Meng
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Epistemically Robust Strategy Subsets
We define a concept of epistemic robustness in the context of an epistemic model of a finite normal-form game where a player type corresponds to a belief over the profiles of opponent strategies and types.
Geir B. Asheim +2 more
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Background. A problem of selecting amongst efficient Nash equilibria is solved by refining them. The existing approaches to refining do not guarantee that the refined efficient Nash equilibrium will be single.
Vadim V. Romanuke
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A Game-Based Charging Station Selection for UAVs With Cost-Awareness
Unmanned aerial vehicles (UAVs) are massively utilized as airborne base stations for the growing demand of communication. The fixed battery capacity prevents UAV applications from further development.
Jiahao He +6 more
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Marginal Contribution-Based Distributed Subchannel Allocation in Small Cell Networks
The paper presents a game theoretic solution for distributed subchannel allocation problem in small cell networks (SCNs) analyzed under the physical interference model.
Shashi Shah +3 more
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Game-Theoretic Framework for Coordinating Mixed Traffic for Emergency Vehicle Passage
We address the challenge of coordinating traffic at unsignalized intersections, particularly with an emergency vehicle, by proposing a game-theoretic decision model.
Wei-Xiang Li +3 more
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Self-Organized Cognitive Sensor Networks: Distributed Channel Assignment for Pervasive Sensing
We study the channel assignment strategy in multichannel wireless sensor networks (WSNs) where macrocells and sensor nodes are overlaid. The WSNs dynamically access the licensed spectrum owned by the macrocells to provide pervasive sensing services.
Li-Chuan Tseng +5 more
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Multi-agent reinforcement learning for a distributed multi-channel access game
In this work, we model multi-user distributed channel access as a game with U channels and N users, and propose the Multi-Agent Thompson Sampling (MA-TS) algorithm. It uses Bayes’ theorem to dynamically optimize action selection.
Zhongyang Li, Yu Zhao, Joohyun Lee
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This paper presents a simple game theoretic framework, assuming complete information, to model Bitcoin mining activity. It does so by formalizing the activity as an all-pay contest: a competition where participants contend with each other to win a prize ...
Nicola Dimitri
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A game theoretical approach for QoS provisioning in heterogeneous networks
With the proliferation of mobile phone users, interference management is a big concern in this neoteric years. To cope with this problem along with ensuring better Quality of Service (QoS), femtocell plays an imperious preamble in heterogeneous networks (
A.S.M. Zadid Shifat +2 more
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