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Roger Girgis

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#machine learning Feb 2026

Constrained Group Relative Policy Optimization

This work introduces Constrained GRPO, a Lagrangian-based extension of GRPO for constrained policy optimization, and addresses the coupling induced by reward scalarization by scalarizing standardized advantages rather than rewards.

Roger Girgis, Rodrigue de Schaetzen, Luke Rowe et al. · arXiv.org · 2 citations · ⚡1