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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

Hybrid actor-critic scheme for quantum reinforcement learning

May 11, 2023, 2:45 PM
15m
Marriott Ballroom VII (Norfolk Waterside Marriott)

Marriott Ballroom VII

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510

Speaker

VALLECORSA, SOFIA (CERN)

Description

Free energy-based reinforcement learning (FERL) with clamped quantum Boltzmann machines (QBM) was shown to significantly improve the learning efficiency compared to classical Q-learning with the restriction, however, to discrete state-action space environments. We extended FERL to continuous state-action space environments by developing a hybrid actor-critic scheme combining a classical actor-network with a QBM-based critic. Results obtained with quantum annealing, both simulated and with D-Wave quantum annealing hardware, are discussed, and the performance is compared to classical reinforcement learning methods. The method is applied to a variety of particle accelerator environments among which is the actual electron beam line of the Advanced Plasma Wakefield Experiment (AWAKE) at CERN.

Consider for long presentation Yes

Primary authors

Presentation materials