Deep Meta Reinforcement Learning for Rapid Adaptation in Linear Markov Decision Processes: Applications to CERN’s AWAKE Project
COMBINING, MODELLING AND ANALYZING IMPRECISION, RANDOMNESS AND DEPENDENCE, SMPS 2024（2024）
Key words
Meta RL,Accelerator Control,Model-Agnostic Meta-Learning,High-Dimensional Control,Markov Decision Processes,Partial Observability,Machine learning,Artificial intelligence
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