Výsledky vyhledávání - Computing methodologies Machine learning Machine learning approaches Stochastic game~

Distributed Multiuser Computation Offloading for Cloudlet-Based Mobile Cloud Computing: A Game-Theoretic Machine Learning Approach Autor Cao, Huijin, Cai, Jun

“…In this paper, we investigate the problem of multiuser computation offloading for cloudlet-based mobile cloud computing in a multichannel wireless contention environment…”
Získat plný text

Multi-Structural Games and Number of Quantifiers Autor Fagin, Ronald, Lenchner, Jonathan, Regan, Kenneth W., Vyas, Nikhil

“…We study multi-structural games, played on two sets {\mathcal{A}} and {\mathcal{B}} of structures. These games generalize Ehrenfeucht…”
Získat plný text

Markov decision process routing games Autor Calderone, Dan, Sastry, S. Shankar

“… This work can be thought of as a routing-game-based formulation of continuous population stochastic games…”
Získat plný text

A peer-to-peer simulation technique for instanced massively multiplayer games Autor Cecin, Fabio Reis, Geyer, Claudio Fernando Resin, Rabello, Solon, Barbosa, Jorge Luis Victoria

“…We propose a peer-to-peer event ordering and simulation technique aimed at networked real-time action games…”
Získat plný text

The Distinctive Challenges of Pervasive Games as Distributed Real-Time Applications Autor Benford, Steve

“…Pervasive games are an emerging form of distributed real-time application that extend computer gaming out into the real world…”
Získat plný text

Social Collaboration, Stochastic Strategies and Information Referrals Autor Nowostawski, Mariusz, Foukia, Noria

“…Referrals are used in multi-agent systems, network agents and peer-to-peer systems for the purpose of global or local information spreading to facilitate trust…”
Získat plný text

A Game Theoretic Approach to Active Distributed Data Mining Autor Zhang, Xiaofeng, Cheung, William K.

“…Learning-from-abstraction(LFA) is a recently proposed model-based distributed data mining approach which aims to the mining process both scalable and privacy preserving…”
Získat plný text

Designing the Market Game for a Commodity Trading Simulation Autor Cheng, Shih-Fen

“…In this paper, we propose to design a market game that (a) can be used in modeling and studying commodity trading scenarios, and (b…”
Získat plný text

How Relevant is Game Theory to Intelligent Agent Technology? Autor Shoham, Professor Yoav

“…At this point, restricted to rather specialized areas, and even there must be taken with a grain of salt. But at the same time you can't afford not to know it;…”
Získat plný text

Modeling as Craft Autor Fishwick, Paul

“… and engaging.Interactive computer games provide evengreater flexibility, while lacking in tactilefeedback and the sort of physical immersionwe expect from every day experience…”
Získat plný text

Gene mutation estimations via mutual information and Ewens sampling based CNN & machine learning algorithms Autor Dai, Wanyang

“…) and machine learning algorithms. More precisely, we develop a systematic methodology through constructing a CNN…”
Získat plný text

Path lookahead: a data flow view of PDES models Autor Meyer, Richard A., Bargrodia, Rajive L.

“…Architectural advances are making PDES more difficult. Processor speed improves much more quickly than interprocessor communication and memory. Lagging memory…”
Získat plný text

Solving two-armed Bernoulli bandit problems using a Bayesian learning automaton Autor Granmo, Ole-Christoffer

“…: the Bayesian learning automaton (BLA) family.Design methodology approach - Although computationally intractable in many cases, Bayesian methods provide a standard for optimal decision making…”
Získat plný text

Stability and Accuracy-Aware Learning for Task Offloading in UAV-MEC-Assisted Smart Farms Autor Khoramnejad, Fahime, Syed, Aisha, Kennedy, W. Sean, Erol-Kantarci, Melike

“…), and Mobile Edge Computing (MEC) technology. At the heart of our methodology is the utilization of multi-agent reinforcement learning (RL…”
Získat plný text

Best-Response Multiagent Learning in Non-Stationary Environments Autor Weinberg, Michael, Rosenschein, Jeffrey S.

“… Our learning algorithm works within the very general framework of n-player, general-sum stochastic games, and learns both the game structure and its associated optimal policy…”
Získat plný text

Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning Autor Mannion, Patrick, Devlin, Sam, Duggan, Jim, Howley, Enda

“…The majority of multi-agent reinforcement learning (MARL) implementations aim to optimize systems with respect to a single objective, despite the fact that many real-world problems are inherently multi-objective in nature…”
Získat plný text

Coordination in Large Multiagent Reinforcement Learning Problems Autor Kemmerich, T., Buning, H. K.

“… In this work, we deal with these two issues. Therefore, we consider a subclass of stochastic games called cooperative sequential stage games…”
Získat plný text

Synchronous self-learning Pareto strategy Autor Mozaffari, Ahmad

“… Until now, several deterministic and stochastic methods have been proposed to cope with such complex systems…”
Získat plný text

Synchronous self-learning Pareto strategy: An ensemble framework for vector and multi-criterion optimization Autor Mozaffari, Ahmad

Získat plný text

Simulation run length planning for stochastic loss models Autor Srikant, Rayadurgam, Whitt, Ward

“… It is natural to delete an initial portion of the simulation run to allow the system to approach steady state when it starts out empty…”
Získat plný text