Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data. - Adrian Remonda; Sarah Krebs; Eduardo E. Veas; Granit Luzhnica; Roman Kern (CoRR, 2021)

Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning. - Adrian Remonda; Eduardo E. Veas; Granit Luzhnica (CoRR, 2021)

A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data. - Adrian Remonda; Nicklas Hansen 001; Ayoub Raji; Nicola Musiu; Marko Bertogna; Eduardo E. Veas; Xiaolong Wang 004 (NeurIPS, 2024)

Uncertainty-Based Experience Replay for Task-Agnostic Continual Reinforcement Learning. - Adrian Remonda; Cole Corbitt Terrell; Eduardo E. Veas; Marc Masana (Trans. Mach. Learn. Res., 2025)