Iterative ADP learning algorithms for discrete-time multi-player games
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Neural networks-based optimal tracking control for nonzero-sum games of multi-player continuous-time nonlinear systems via reinforcement learning
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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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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
MCGR-PB: A Multi-Player Cooperative Game Based Routing for Performance Balancing in Crowd Sensing Networks
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Off-Policy Model-Free Learning for Multi-Player Non-Zero-Sum Games With Constrained Inputs
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Novel Dataset for Multi-View Multi-Player Tracking in Soccer Scenarios
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DOI: 10.3390/app13095361
Abstract: Localization and tracking in multi-player sports present significant challenges, particularly in wide and crowded scenes where severe occlusions can occur. Traditional solutions relying on a single camera are limited in their ability to accurately identify… read more here.
Keywords: multi; view multi; multi view; multi player ... See more keywords