Results 11 to 20 of about 1,365,709 (331)
Solving Heterogeneous Agent Models with the Master Equation
Social Science Research Network, 2023 This paper proposes an analytic representation of perturbations in heterogeneous agent economies with aggregate shocks. Treating the underlying distribution as an explicit state variable, a single value function defined on an infinite-dimensional state ...
Adrien Bilal
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iScience, 2022 Summary: Decarbonizing the building sector depends on choices made at the household level, which are heterogeneous. Agent-based models are tools used to describe heterogeneous choices but require data-intensive calibration.
Oreane.Y. Edelenbosch +4 more
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Public Debt Bubbles in Heterogeneous Agent Models with Tail Risk
Social Science Research Network, 2021 This paper studies the public debt implications of a class of Aiyagari (1994)-Bewley (1977)-Huggett (1993) (ABH) models of incomplete insurance in which agents face a near-zero probability of a highly adverse outcome.
N. Kocherlakota
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Agent-based cloud simulation model for resource management
Journal of Cloud Computing: Advances, Systems and Applications, 2023 Driven by the successful service model and growing demand, cloud computing has evolved from a moderate-sized data center consisting of homogeneous resources to a heterogeneous hyper-scale computing ecosystem.
Dapeng Dong
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Hierarchical Model-Based Deep Reinforcement Learning for Single-Asset Trading
Analytics, 2023 We present a hierarchical reinforcement learning (RL) architecture that employs various low-level agents to act in the trading environment, i.e., the market.
Adrian Millea
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Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2021 Reasoning about the future behavior of other agents is critical to safe robot navigation. The multiplicity of plausible futures is further amplified by the uncertainty inherent to agent state estimation from data, including positions, velocities, and ...
B. Ivanovic +6 more
semanticscholar +1 more source
Frontiers in Bioengineering and Biotechnology, 2020 Computational models are most impactful when they explain and characterize biological phenomena that are non-intuitive, unexpected, or difficult to study experimentally.
Jessica S. Yu +5 more
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Energy Strategy Reviews, 2021 Market players in the energy sector transition are heterogeneous, have bounded rationality and are influenced by their own past failures, as well as imitating the successes of their competitors.
Elsa Barazza, Neil Strachan
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Can a Representative-Agent Model Represent a Heterogeneous-Agent Economy [PDF]
American Economic Journal: Macroeconomics, 2009 Accounting for observed fluctuations in aggregate employment, consumption, and real wage using the optimality conditions of a representative household requires preferences that are incompatible with economic priors. In order to reconcile theory with data, we construct a model with heterogeneous agents whose decisions are difficult to aggregate because
AN, Sungbae +2 more
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Estimation of Heterogeneous Agent Models: A Likelihood Approach [PDF]
SSRN Electronic Journal, 2020 Using a Bewley‐Hugget‐Aiyagari model we show how to use the Fokker‐Planck equation for likelihood inference in heterogeneous agent (HA) models. We study the finite sample properties of the maximum likelihood estimator (MLE) in Monte Carlo experiments using cross‐sectional data on wealth and income.
Juan Carlos Parra‐Alvarez +2 more
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