The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

28 April 2020

Papers citing "The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies"

27 / 27 papers shown

Title
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Aditya Bhaskara Suresh Venkatasubramanian 25 0 0 10 Apr 2025
Carbon Market Simulation with Adaptive Mechanism Design Han Wang Wenhao Li Hongyuan Zha Baoxiang Wang 32 3 0 12 Jun 2024
Decentralized Online Learning in General-Sum Stackelberg Games Yaolong Yu Haipeng Chen 27 0 0 06 May 2024
Designing Trustful Cooperation Ecosystems is Key to the New Space Exploration Era Renan Lima Baima Loïck Chovet Johannes Sedlmeir Gilbert Fridgen Miguel Angel Olivares-Mendez 20 3 0 08 Feb 2024
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas Bengisu Guresti Abdullah Vanlioglu N. K. Üre 15 5 0 28 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 35 6 0 20 Feb 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation A. Ghosh 25 1 0 28 Nov 2022
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 32 210 0 19 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
The Complexity of Markov Equilibrium in Stochastic Games C. Daskalakis Noah Golowich Kaipeng Zhang 36 57 0 08 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 25 28 0 04 Apr 2022
Computational Experiments: Past, Present and Future Xiao Xue Xiangning Yu Deyu Zhou Tianlin Li Zhang-Bin Zhou Fei-Yue Wang 8 5 0 28 Feb 2022
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Michael I. Jordan 29 30 0 27 Dec 2021
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 30 21 0 20 Dec 2021
An Economy of Neural Networks: Learning from Heterogeneous Experiences A. Kuriksha 19 7 0 22 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 124 161 0 15 Oct 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 40 36 0 05 Aug 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 19 11 0 10 Jun 2021
Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents Eric Zhao Alexander R. Trott Caiming Xiong Stephan Zheng OffRL 19 1 0 10 Jun 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems Martin Mladenov Chih-Wei Hsu Vihan Jain Eugene Ie Christopher Colby Nicolas Mayoraz H. Pham Dustin Tran Ivan Vendrov Craig Boutilier BDL 15 31 0 14 Mar 2021
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games Yu Bai Chi Jin Haiquan Wang Caiming Xiong 44 67 0 23 Feb 2021
A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form Song-Ju Kim Taiki Takahashi Kazuo Sano 14 4 0 27 Jan 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 37 199 0 15 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 44 5 0 15 Dec 2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences Raphael Köster Kevin R. McKee Richard Everett Laura Weidinger William S. Isaac Edward Hughes Edgar A. Duénez-Guzmán T. Graepel M. Botvinick Joel Z Leibo 24 22 0 18 Oct 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 30 152 0 15 Nov 2019
Payment Rules through Discriminant-Based Classifiers Paul Dütting Felix A. Fischer Pichayut Jirapinyo John K. Lai Benjamin Lubin David C. Parkes FaML 40 59 0 06 Aug 2012