Results 81 to 90 of about 11,728 (310)
Evolutionary Dynamics of Stochastic Q Learning in Multi-Agent Systems
AxiomsSince high complexity and uncertainty is inherent in real-world environments that can influence the strategies choices of agents, we introduce a stochastic perturbation term to characterize the interference caused by uncertain factors on multi-agent ...
Luping Liu, Gang Sun
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AIChE Journal, EarlyView.Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin +8 more
wiley +1 more source
Stopping games: recent results [PDF]
We survey recent results on the existence of the value in zero-sum stopping games with discrete and continuous time, and on the existence of e-equilibria in non zero-sum games with discrete time.stopping games; stochastic games ...
VIEILLE, Nicolas, SOLAN, Eilon
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Balancedness and Core of Stochastic Cooperative Games with Proportional Distributions
AxiomsThis paper studies the balancedness and core properties of stochastic cooperative games under proportional distribution mechanisms. Different from decomposed payoff structures in the existing literature, where individual payoffs are separated into ...
Panfei Sun, Yichen Yang, Dongshuang Hou
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In this paper we introduce polytopal stochastic games, an extension of two-player, zero-sum, turn-based stochastic games, in which we may have uncertainty over the transition probabilities. In these games the uncertainty over the probabilities distributions is captured via linear (in)equalities whose space of solutions forms a polytope.
Pablo F. Castro, Pedro R. D'Argenio
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Noncooperative Stochastic Games
The Annals of Mathematical Statistics, 1971 We introduce a sequential competitive decision process that is a generalization of noncooperative finite games and of two-person zero-sum stochastic games (hence, of Markovian decision processes). We prove the existence of equilibrium points under criteria of discounted gain and of average gain.
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Playing Stochastic Games Precisely [PDF]
, 2012 We study stochastic two-player games where the goal of one player is to achieve precisely a given expected value of the objective function, while the goal of the opponent is the opposite. Potential applications for such games include controller synthesis problems where the optimisation objective is to maximise or minimise a given payoff function while ...
Taolue Chen 0001 +5 more
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Nonlinear Markov games on a finite state space (mean-field and binary interactions) [PDF]
, 2012 Managing large complex stochastic systems, including competitive interests, when one or several players can control the behavior of a large number of particles (agents, mechanisms, vehicles, subsidiaries, species, police units, etc), say Nk for a player ...
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
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Advanced Intelligent Discovery, EarlyView.A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
REGULARITY AND SENSITIVITY FOR MCKEAN-VLASOV TYPE SPDEs GENERATED BY STABLE-LIKE PROCESSES
Проблемы анализа, 2018 In this paper we study the sensitivity of nonlinear stochastic differential equations of McKean–Vlasov type generated by stable-like processes. By using the method of stochastic characteristics, we transfer these equations to non-stochastic equations ...
V. N. Kolokoltsov, M. S. Troeva
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