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In economic modeling, there has been an increasing investigation into multi-agent simulators.
Abides: Towards high-fidelity market simulation for ai research
Byrd, D.; Hybinette, M.; and Balch, T. H. 2019 · 1904
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A theory of production
Cobb, C. W.; and Douglas, P. H. 1928 · 1928
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Markov games as a framework for multi-agent reinforcement learning
Littman, M. L. 1994 · 1994
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Multiagent reinforcement learning: theoretical framework and an algorithm
Hu, J.; Wellman, M. P.; et al. 1998 · 1998
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Income and wealth heterogeneity in the macroeconomy
Krusell, P.; and Smith, A. A., Jr. 1998 · 1998
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The labour market impact of the working families’ tax credit
Blundell, R.; Duncan, A.; McCrae, J.; and Meghir, C. 2000 · 2000
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The impact of the earned income tax credit and social policy reforms on work, marriage, and living arrangements
Ellwood, D. T. 2000 · 2000
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Monetary policy and multiple equilibria
Benhabib, J.; Schmitt-Grohé, S.; and Uribe, M. 2001 · 2001
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Policy interaction, expectations and the liquidity trap
Evans, G. W.; and Honkapohja, S. 2005 · 2005
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Central bank communication and monetary policy: A survey of theory and evidence
Blinder, A. S.; Ehrmann, M.; Fratzscher, M.; De Haan, J.; and Jansen, D.-J. 2008 · 2008
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Multi-agent reinforcement learning: An overview
Buşoniu, L.; Babuška, R.; and De Schutter, B. 2010 · 2010
Cited alongside, same era.
Game theory and multi-agent reinforcement learning
Nowé, A.; Vrancx, P.; and De Hauwere, Y.-M. 2012 · 2012
Cited alongside, same era.
Macroeconomies as constructively rational games
Sinitskaya, E.; and Tesfatsion, L. 2015 · 2015
Cited alongside, same era.
Monetary policy according to HANK
Kaplan, G.; Moll, B.; and Violante, G. L. 2018 · 2018
Cited alongside, same era.
More is different… and complex! the case for agent-based macroeconomics
Dosi, G.; and Roventini, A. 2019 · 2019
Cited alongside, same era.
Drawing on different disciplines: macroeconomic agent-based models
Haldane, A. G.; and Turrell, A. E. 2019 · 2019
Cited alongside, same era.
Deep reinforcement learning in a monetary model
Chen, M.; Joseph, A.; Kumhof, M.; Pan, X.; Shi, R.; and Zhou, X. 2021 · 2021
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Solving heterogeneous general equilibrium economic models with deep reinforcement learning
Hill, E.; Bardoscia, M.; and Turrell, A. 2021 · 2021
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Optimal monetary policy using reinforcement learning
Hinterlang, N.; and Tänzer, A. 2021 · 2021
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Agent-based modeling in economics and finance: Past, present, and future
Axtell, R. L.; and Farmer, J. D. 2022 · 2022
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Curry, M.; Trott, A.; Phade, S.; Bai, Y.; and Zheng, S. 2022 · 2022
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Monetary policy strategies for the Federal Reserve
Svensson, L. E. 2020 · 2020
Cited alongside, same era.
Get real: Realism metrics for robust limit order book market simulations
Vyetrenko, S.; Byrd, D.; Petosa, N.; Mahfouz, M.; Dervovic, D.; Veloso, M.; and Balch, T. 2020 · 2020
Cited alongside, same era.
ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets
Amrouni, S.; Moulin, A.; Vann, J.; Vyetrenko, S.; Balch, T.; and Veloso, M. 2021 · 2021
Cited alongside, same era.
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Equitable Marketplace Mechanism Design
Dwarakanath, K.; Vyetrenko, S.; and Balch, T. 2022 · 2022
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Welfare maximization in competitive equilibrium: Reinforcement learning for markov exchange economy
Liu, Z.; Lu, M.; Wang, Z.; Jordan, M.; and Yang, Z. 2022 · 2022
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How families used the advanced Child Tax Credit
Wheat, C.; Deadman, E.; and Sullivan, D. M. 2022 · 2022
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The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning
Zheng, S.; Trott, A.; Srinivasa, S.; Parkes, D. C.; and Socher, R. 2022 · 2022
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