"Transparent Uncertainty Quantification for Offline Reinforcement Learning in Chlor-Alkali Control"

Jesse Thibodeau, Étienne Tétreault Pinard, Said Berriah

Reinforcement Learning Conference, Workshop on Practical Insights into RL for Real Systems (RLC), 2025

"Balancing Profit and Fairness in Risk-Based Pricing Markets"

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran & Golnoosh Farnadi

Submitted to AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2025

"Fairness Incentives in Response to Unfair Dynamic Pricing"

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran & Golnoosh Farnadi

Econometric Society Interdisciplinary Frontiers (ESIF) Conference on Economics and AI+ML, 2024

"Identifying Channels of Idiosyncratic Shocks to Mortgage Delinquency in the United States" (Princeton Senior Thesis)

Jesse Thibodeau & Nobuhiro Kiyotaki

Princeton University Mudd Manuscript Library, 2021

"Fairness Incentives in Response to Unfair Dynamic Pricing"

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran & Golnoosh Farnadi

Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI + ML, Cornell University, August 2024

"RL-Enabled Dynamic Pricing for Demand Fairness"

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran & Golnoosh Farnadi

CIREQ Interdisciplinary PhD Student Conference on Big Data and Artificial Intelligence, McGill University, 2023