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   Articles with "multi player" as a keyword



Iterative ADP learning algorithms for discrete-time multi-player games

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recommendations! Published in 2017 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-017-9603-1

Abstract: Adaptive dynamic programming (ADP) is an important branch of reinforcement learning to solve various optimal control issues. Most practical nonlinear systems are controlled by more than one controller. Each controller is a player, and to… read more here.

Keywords: multi player; player; zero sum; player games ... See more keywords

Data-based approximate optimal control for nonzero-sum games of multi-player systems using adaptive dynamic programming

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recommendations! Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.05.086

Abstract: This paper investigates the non-zerosum game issue for unknown nonlinear systems with multi-player by using data-based adaptive dynamic programming (ADP) methods. It is known that the traditional ADP approaches require accurate system models to compute… read more here.

Keywords: multi player; adaptive dynamic; data based; approximate optimal ... See more keywords

Off-policy synchronous iteration IRL method for multi-player zero-sum games with input constraints

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.10.075

Abstract: Abstract In this paper, a novel synchronous off-policy method is given to solve multi-player zero-sum (ZS) game under the condition that the knowledge of system data are completely unknown, the actuators of controls are constrained… read more here.

Keywords: player zero; multi player; policy; zero sum ... See more keywords
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Neural networks-based optimal tracking control for nonzero-sum games of multi-player continuous-time nonlinear systems via reinforcement learning

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.06.083

Abstract: Abstract In this paper, optimal tracking control for nonzero-sum games of multi-player continuous-time nonlinear systems is investigated by using a novel reinforcement learning scheme. Based on the multi-player nonlinear systems and reference signal, we firstly… read more here.

Keywords: multi player; nonlinear systems; time; reinforcement learning ... See more keywords

Linear Physical Programming Iteration Method of Multi-Player Multi-Objective Decision Making Supply Chain

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recommendations! Published in 2019 at "Procedia Manufacturing"

DOI: 10.1016/j.promfg.2020.01.276

Abstract: Abstract In real situations of supply chain, the companies have different environments, but they deal with common kinds of products. So, they may conflict each other in order to continue businesses and an optimal solution… read more here.

Keywords: decision; multi player; multi; multi objective ... See more keywords

Distributed NE and GNE seeking for heterogeneous multi-player games over directed communication networks.

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recommendations! Published in 2024 at "Chaos"

DOI: 10.1063/5.0210973

Abstract: The non-cooperation game with heterogeneous dynamics is of both theoretical significance and practical relevance because of its extensive penetration into various fields, such as the game confrontation composed of unmanned aerial vehicles and unmanned vehicles… read more here.

Keywords: gne seeking; distributed gne; communication networks; multi player ... See more keywords

MCGR-PB: A Multi-Player Cooperative Game Based Routing for Performance Balancing in Crowd Sensing Networks

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recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2879639

Abstract: Mobile crowd-sensing network is a kind of networks that take advantage of pervasive mobile devices to efficiently collect data and enable the completion of large-scale and complicated sensing tasks through the wide participation of mobile… read more here.

Keywords: multi player; game; performance balancing; performance ... See more keywords

Discrete-Time Multi-Player Games Based on Off-Policy Q-Learning

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2939384

Abstract: In this paper, an off-policy game Q-learning algorithm is proposed for solving linear discrete-time non-zero sum multi-player game problems. Unlike the existing Q-learning methods for solving the Riccati equation by on-policy learning approaches for multi-player… read more here.

Keywords: policy game; game learning; policy; game ... See more keywords

Data-Driven Robust Tracking Control for Multi-Player Nonzero-Sum Games With Constrained Inputs

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3587808

Abstract: In this paper, the robust tracking control for unknown multi-player nonlinear systems with constrained inputs and uncertainties is studied by data-driven reinforcement learning scheme. In this study, the dependence on system dynamics is relaxed through… read more here.

Keywords: robust tracking; system; tracking control; multi player ... See more keywords
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Off-Policy Model-Free Learning for Multi-Player Non-Zero-Sum Games With Constrained Inputs

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recommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2022.3221274

Abstract: In this paper, multi-player non-zero-sum games with control constraints are studied by utilizing a novel model-free approach based on adaptive dynamic programming framework. First, the model-based policy iteration (PI) method is provided, which requires the… read more here.

Keywords: model free; player non; policy; model ... See more keywords

ARSpy: Breaking Location-based Multi-player Augmented Reality Application for User Location Tracking

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recommendations! Published in 2020 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2020.3007740

Abstract: Augmented reality (AR) applications that overlay a user's perception of the real world with digitally generated information are on the cusp of commercial viability. AR has appeared in several commercial platforms like Microsoft HoloLens and… read more here.

Keywords: multi player; location; location based; based multi ... See more keywords