Deep Meta Reinforcement Learning for Rapid Adaptation In Linear Markov Decision Processes: Applications to CERN’s AWAKE Project.
Simon Hirlaender, Sabrina Pochaba, Lukas Lamminger, Andrea Santamaria Garcia, Chenran Xu, Jan Kaiser, Annika Eichler and Verena Kain (2025): Deep Meta Reinforcement Learning for Rapid Adaptation In Linear Markov Decision Processes: Applications to CERN’s AWAKE Project. In: 11. International Conference on Soft Methods in Probability and Statistics (SMPS 2024)