Author

Mahmoud Selim

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#artificial intelligence Preprint Oct 2026

Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving

Offline reinforcement learning enables reward-driven policy improvement from fixed datasets without requiring online exploration, making it particularly attractive in safety-critical domains. A central challenge, however, is distribution shift: policy optimization may favor actions that are weakly supported by the offl...

Mahmoud Selim, Cristina Cipriani, K. H. Johansson · 0 citations

#artificial intelligence Preprint Sep 2026

Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning

A noisy-space action-value (Q-)function that assigns values to diffusion latents through the distribution of executed actions induced by the denoising process is introduced, which admits a precise semantic interpretation and derives a noisy-space policy gradient (NSPG) that optimizes noisy latents using only clean acti...

Mahmoud Selim, Cristina Cipriani, K. H. Johansson · 1 citation