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Arvind Shrivats

4 papers hereh-index 5115 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-fin.MF3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedPrincipal agent mean field games in REC markets

7 citations · 10 across the 3 of their papers we have counts for

collaborators

4 papers

q-fin.MF2021★ 7 cited

Principal agent mean field games in REC markets

Dena Firoozi, Arvind V Shrivats, Sebastian Jaimungal

Principal agent games are a growing area of research which focuses on the optimal behaviour of a principal and an agent, with the former contracting work from the latter, in return…

cs.LG2021★ 3 cited

Deep Learning for Principal-Agent Mean Field Games

Steven Campbell, Yichao Chen, Arvind Shrivats +1

Here, we develop a deep learning algorithm for solving Principal-Agent (PA) mean field games with market-clearing conditions -- a class of problems that have thus far not been stud…

q-fin.MF2020

A Mean-Field Game Approach to Equilibrium Pricing in Solar Renewable Energy Certificate Markets

Arvind Shrivats, Dena Firoozi, Sebastian Jaimungal

Solar Renewable Energy Certificate (SREC) markets are a market-based system that incentivizes solar energy generation. A regulatory body imposes a lower bound on the amount of ener…

q-fin.MF2019

Optimal Behaviour in Solar Renewable Energy Certificate (SREC) Markets

Arvind Shrivats, Sebastian Jaimungal

SREC markets are a relatively novel market-based system to incentivize the production of energy from solar means. A regulator imposes a floor on the amount of energy each regulated…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.