Chris Mascioli
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    • A Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning
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FairFormer

Nov 2, 2025 ยท 1 min read
Go to Project Site

FairFormer explores how transformer architectures can be adapted for fair division and allocation problems. It provides a research codebase, pretrained checkpoints, and reproducible experiments for testing fairness constraints alongside utility optimization.

Last updated on Nov 19, 2025
Transformers Fairness Optimization
Chris Mascioli
Authors
Chris Mascioli
PhD Student

PyMarketSim Nov 16, 2024 →

ยฉ 2025 Chris Mascioli. This work is licensed under CC BY NC ND 4.0

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