Results 31 to 40 of about 3,228 (152)
Newton’s method for reinforcement learning and model predictive control
Results in Control and Optimization, 2022 The purpose of this paper is to propose and develop a new conceptual framework for approximate Dynamic Programming (DP) and Reinforcement Learning (RL). This framework centers around two algorithms, which are designed largely independently of each other ...
Dimitri Bertsekas
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Epistemic Game Theory: Putting Algorithms to Work [PDF]
The R Journal, 2018 The aim of this study is to construct an epistemic model in which each rational choice under common belief in rationality is supplemented by a type which expresses such a belief. In practice, the finding of type depends on manual solution approach with some mathematical operations in scope of the theory.
Başer, Bilge, Cinemre, Nalan
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Potential-Based Algorithms in Online Prediction and Game Theory [PDF]
Machine Learning, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicolò Cesa-Bianchi, Gábor Lugosi
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Explaining multivariate molecular diagnostic tests via Shapley values
BMC Medical Informatics and Decision Making, 2021 Background Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests.
Joanna Roder +3 more
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Nurture by Tetris: On the Ideological Foundations of the Soviet Computer Game
Социология властиThe authors attempt to speculatively reconstruct the concept of the "Soviet computer game”. They propose to consider gaming practices associated with computers as a derivative of the accepted ideological guidelines that accompany the Soviet project of ...
Andrei D. Muzhdab, Alexey O. Tsarev
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The Educational Potentials of Digital Games for Cultivation of Abstract Thinking in Children: a conceptual-phenomenological analysis of ‘Minecraft’ [PDF]
Journal of Philosophical InvestigationsThis paper adopts a conceptual–phenomenological approach to examine Minecraft’s potential to foster abstract thinking in children. Drawing on Piaget’s cognitive development theory, Vygotsky’s sociocultural theory, Dewey’s philosophy of experience, and ...
Mohsen Karami
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Approximate Relational Games For Green Influencer Marketing Optimization
IEEE AccessThe collaboration between celebrities, macro-influencers, and micro-influencers plays a pivotal role in amplifying the effectiveness and longevity of environmental sustainability messages.
Nghia D. Vu +5 more
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MATEC Web of Conferences, 2016 Drivers’ risk perception is vital to driving behavior and traffic safety. In the dynamic interaction of a driver-vehicle-environment system, drivers’ risk perception changes dynamically.
Liu Miaomiao +2 more
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A Library for Algorithmic Game Theory in Ssreflect/Coq
J. Formaliz. Reason., 2017 We report on the formalization in Ssreflect/Coq of a number of concepts and results from algorithmic game theory, including potential games, smooth games, solution concepts such as Pure and Mixed Nash Equilibria, Coarse Correlated Equilibria, epsilon-approximate equilibria, and behavioral models of games such as best-response dynamics.
Alexander Bagnall +2 more
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Stochastic multiplayer games: theory and algorithms. [PDF]
, 2010 Stochastic games provide a versatile model for reactive systems that are affected by random events. Intuitively, a play of such a game evolves by moving a token along the edges of a directed graph. Each vertex of the graph is either controlled by one of the players, or it is a stochastic vertex.
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