Intelligent Process Control Seminar
Reinforcement Learning applications in particle accelerators
by
→
Europe/Berlin
459 (30b)
459
30b
Zoom virtual access:
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https://desy.zoom.us/j/3215623178?pwd=OHd6dVFHNU1QK0JDcndsK01tb3o5QT09
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Meeting ID 321 562 3178
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Password 426314
Description
Reinforcement Learning (RL) methods are well suited for control problems as they learn to determine the best action to take in a given environment to maximise a given reward. They have advantages over classical optimisation methods, such as efficiency. This talk will introduce the fundamental concepts in model-free RL, such as Q-learning and various types of agents, and review a number of successful applications in the control of particle accelerators, such as the CERN injector chain.