ICML 2022spotlight26 citations
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
Zhihan Liu, Miao Lu, Zhaoran Wang, Michael Jordan, Zhuoran Yang
Abstract
We study a bilevel economic system, which we refer to as a
BibTeX
@InProceedings{pmlr-v162-liu22l,
title = {Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for {M}arkov Exchange Economy},
author = {Liu, Zhihan and Lu, Miao and Wang, Zhaoran and Jordan, Michael and Yang, Zhuoran},
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
pages = {13870--13911},
year = {2022},
editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
volume = {162},
series = {Proceedings of Machine Learning Research},
month = {17--23 Jul},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v162/liu22l/liu22l.pdf},
url = {https://proceedings.mlr.press/v162/liu22l.html},
abstract = {We study a bilevel economic system, which we refer to as a