Fetching the paper…
Reading the bibliography…
Optimizing economic and public policy is critical to address socioeconomic issues and trade-offs, e.g., improving equality, productivity, or wellness, and poses a complex mechanism design problem.
“A contribution to the mathematical theory of epidemics”
William Kermack, A.. McKendrick and Gilbert Walker · 1927
Earlier work this paper cites.
“Counterspeculation, auctions, and competitive sealed tenders”
William Vickrey · 1961
Earlier work this paper cites.
“The theory of risk aversion”
Kenneth Arrow · 1971
Earlier work this paper cites.
“Optimal auction design”
Roger Myerson · 1981
Earlier work this paper cites.
“An intertemporal general equilibrium model of asset prices”
John Cox, Jonathan Ingersoll and Stephen Ross · 1985
Earlier work this paper cites.
“State-space solutions to standard H 2 and H∞ control problems”
John Doyle, Keith Glover, Pramod Khargonekar and Bruce Francis · 1988
Earlier work this paper cites.
“Function Optimization Using Connectionist Reinforcement Learning Algorithms”
Ronald Williams and Jing Peng · 1991
Earlier work this paper cites.
“An analysis of the principal-agent problem”
Sanford Grossman and Oliver Hart · 1992
Earlier work this paper cites.
“Markov games as a framework for multi-agent reinforcement learning”
Michael Littman · 1994
Earlier work this paper cites.
“Microeconomic Theory”
Andreu Mas-Colell, Michael. Whinston and Jerry. Green · 1995
Earlier work this paper cites.
“Income smoothing and consumption smoothing”
Jonathan Morduch · 1995
Earlier work this paper cites.
“Behavioral economics”
Sendhil Mullainathan and Richard Thaler · 2000
Earlier work this paper cites.
“Sticky information versus sticky prices: a proposal to replace the New Keynesian Phillips curve”
N Mankiw and Ricardo Reis · 2002
Earlier work this paper cites.
“An estimated dynamic stochastic general equilibrium model of the euro area”
Frank Smets and Raf Wouters · 2003
Earlier work this paper cites.
“The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies”, 2020
Stephan Zheng et al · 2004
Earlier work this paper cites.
“Tutorial on agent-based modeling and simulation”
Charles Macal and Michael North · 2005
Earlier work this paper cites.
Hannah Alsdurf et al · 2005
Earlier work this paper cites.
“Agent-based computational economics: A constructive approach to economic theory”
Leigh Tesfatsion · 2006
Cited alongside, same era.
“Market structure and equilibrium”
Heinrich Von · 2010
Cited alongside, same era.
“Multi-agent reinforcement learning: An overview”
Lucian Buşoniu, Robert Babuška and Bart De · 2010
Cited alongside, same era.
“Generative adversarial nets”
Ian Goodfellow et al · 2014
Cited alongside, same era.
“Multi-item auctions defying intuition?”
Constantinos Daskalakis · 2015
Cited alongside, same era.
“Improving the robustness of deep neural networks via stability training”
Stephan Zheng, Yang Song, Thomas Leung and Ian Goodfellow · 2016
Cited alongside, same era.
“Fooling lime and shap: Adversarial attacks on post hoc explanation methods”
Dylan Slack et al · 2020
Later among the works it cites.
“Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States”
Difan Zou et al · 2020
Later among the works it cites.
“Tracking the Effect of the COVID-19 Pandemic on the Lives of American Households”
Arie Kapteyn et al · 2020
Later among the works it cites.
“A Simple Planning Problem for COVID-19 Lockdown”, 2020
Fernando Alvarez, David Argente and Francesco Lippi · 2020
Later among the works it cites.
“The Immediate Effect of COVID-19 Policies on Social Distancing Behavior in the United States”
Rahi Abouk and Babak Heydari · 2020
Later among the works it cites.
“Association Between Receipt of Unemployment Insurance and Food Insecurity Among People Who Lost Employment During the COVID-19 Pandemic in the United States”
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“” Why should i trust you?” Explaining the predictions of any classifier”
Marco Ribeiro, Sameer Singh and Carlos Guestrin · 2016
Cited alongside, same era.
“Mastering the game of go without human knowledge”
David Silver et al · 2017
Cited alongside, same era.
“Domain randomization for transferring deep neural networks from simulation to the real world”
Josh Tobin et al · 2017
Cited alongside, same era.
“Robust adversarial reinforcement learning”
Lerrel Pinto, James Davidson, Rahul Sukthankar and Abhinav Gupta · 2017
Cited alongside, same era.
“Towards a rigorous science of interpretable machine learning”
Finale Doshi-Velez and Been Kim · 2017
Cited alongside, same era.
“Constrained policy optimization”
Joshua Achiam, David Held, Aviv Tamar and Pieter Abbeel · 2017
Cited alongside, same era.
Julia Raifman, Jacob Bor and Atheendar Venkataramani · 2020
Later among the works it cites.
“The Cost of Staying Open: Voluntary Social Distancing and Lockdowns in the US”, 2020
Adam Brzezinski, David Dijcke and Valentin Kecht · 2020
Later among the works it cites.
“COVID-19 and Remote Work: An Early Look at US Data”, 2020
Erik Brynjolfsson et al · 2020
Later among the works it cites.
“An interactive web-based dashboard to track COVID-19 in real time.”
Ensheng Dong, Hongru Du and Lauren Gardner · 2020
Later among the works it cites.
“The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning”, 2021
Stephan Zheng et al · 2021
Closest in time.
“Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning”
Edward Hill, Marco Bardoscia and Arthur Turrell · 2021
Closest in time.
“ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations”
Eric Zhao, Alexander Trott, Caiming Xiong and Stephan Zheng · 2021
Closest in time.
“A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)”
Thomas Hale et al · 2021
Closest in time.
URL: https://www.covidmoneytracker.org/
COVID Money Tracker, 2021 · 2021
Closest in time.
“Local Area Unemployment Statistics”, 2021
Bureau of Labor Statistics · 2021
Closest in time.
“Variation in US states’ COVID-19 policy responses”, 2021
Laura Hallas et al · 2021
Closest in time.