RL Beyond Greedy Optimisation for Delayed-Consequence Accelerator Control

IPAC'26 (2026)

IPAC 2026

Causal GP-MPC: Where Structure, Safety, and Online Learning Meet

Mironova, O., Hirländer, S., et al.

IPAC'26 (2026)

IPAC 2026

Robust Real-Time Optimization of SIS18 Injection using Gaussian Process MPC

Halilovic, B., Appel, S., Hirländer, S., et al.

IPAC'26 (2026)

IPAC 2026

Koopman-Stabilised World Models for Offline Reinforcement Learning

Hirländer, S., et al.

IPAC'26 (2026)

IPAC 2026

Reinforcement Learning in Particle Accelerators

García, A. S., Xu, C., Eichler, A., Kaiser, J., & Hirländer, S.

IPAC'25 (2025)

Published

Python-Based Reinforcement Learning on Simulink Models

Schäfer, G., Huber, S., Hirländer, S., et al.

Machine Learning and Knowledge Discovery in Databases (2024)

Multi-agent Reinforcement Learning and Its Application to Wireless Network Communication

Pochaba, S., Kwitt, R., Hirländer, S., et al.

Machine Learning and Knowledge Discovery in Databases (2024)

Deep Meta Reinforcement Learning for Rapid Adaptation In Linear Markov Decision Processes: Applications to CERN's AWAKE Project

Hirländer, S., Pochaba, S., Xu, C., et al.

Machine Learning and Knowledge Discovery in Databases (2024)

The Reinforcement Learning for Autonomous Accelerators Collaboration

Santamaría, A., Xu, C., Scomparin, L., Hirländer, S., Pochaba, S., et al.

IPAC'24

IDA Lab Salzburg (SARL Team)
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