Author

T. Pevný

2 papers indexed here

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#artificial intelligence Jan 2026

Intersectional Fairness via Mixed-Integer Optimization

It is argued that true fairness requires addressing bias at the intersections of protected groups, and a unified framework that leverages Mixed-Integer Optimization (MIO) to train intersectionally fair and intrinsically interpretable classifiers is proposed.

Jiri Nemecek, Mark Kozdoba, Illia Kryvoviaz et al. · arXiv.org · 0 citations

Open access Aug 2026

Understanding Reward Shaping in Planning: A Theoretical and Empirical Analysis

Reward design is a critical yet often underexplored component of reinforcement learning for planning problems. In this work we analyze how different reward shaping strategies affect learning performance when using Proximal Policy Optimization (PPO). We evaluate several reward formulations derived from the objective fun...

Ol-i. Shuhailo, Mohsen Ghaffari, Karel Chvalovský et al. · Proceedings of the Internati... · 0 citations