Author

U. Topcu

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Preprint Aug 2026

Scaling Curriculum Learning For Autonomous Driving

CL4AD is presented, the first integration of curriculum learning into batched autonomous driving simulators by framing scenario selection as an unsupervised environment design problem, and utility functions that shape curricula based on success rates and the realism of the agent's behavior are introduced, in addition t...

Cevahir Koprulu, D. Paz, Feng Tao et al. · 1 citation

#artificial intelligence Mar 2026

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing

This work derives a closed-form expression for this adversarial perturbation, bypassing the iterative inner optimization of adversarial training entirely and enabling linear-time evaluation in the state dimension, and shows that this expression approximates the exact minimizer of the value function over the modeled unc...

Alex Zongo, Filippos Fotiadis, U. Topcu et al. · arXiv.org · 1 citation

#machine learning Preprint Aug 2026

Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers

Regime-Conditional Verification (RCV), a lightweight wrapper that adapts an off-the-shelf safety classifier without retraining it, improves adherence to the deployer's policy in every classifier-dataset combination.

Thiago Sandoval, U. Topcu · 0 citations