Julian Lemmel

According to our database, Julian Lemmel authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL.

Julian Lemmel, Felix Resch, Mónika Farsang, Ramin M. Hasani, Daniela Rus, Radu Grosu

CoRR, February, 2026

2025

TubeDAgger: Reducing the Number of Expert Interventions with Stochastic Reach-Tubes.

Julian Lemmel, Manuel Kranzl, Adam Lamine, Philipp Neubauer, Radu Grosu, Sophie A. Neubauer

CoRR, October, 2025

Online Fine-Tuning of Carbon Emission Predictions using Real-Time Recurrent Learning for State Space Models.

Julian Lemmel, Manuel Kranzl, Adam Lamine, Philipp Neubauer, Radu Grosu, Sophie A. Neubauer

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Scalable Offline Reinforcement Learning for Mean Field Games.

Axel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie A. Neubauer, Radu Grosu

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Real-Time Recurrent Reinforcement Learning.

Julian Lemmel, Radu Grosu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A quantum-classical reinforcement learning model to play Atari games.

Dominik Freinberger, Julian Lemmel, Radu Grosu, Sofiène Jerbi

CoRR, 2024

2023

Prediction of Tourism Flow with Sparse Geolocation Data.

Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer

CoRR, 2023

On the Benefits of Biophysical Synapses.

Julian Lemmel, Radu Grosu

CoRR, 2023

2022

Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data.

Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer

CoRR, 2022