TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning

1 code implementation • 20 Apr 2023 • Francesco Capuano, Davorin Peceli, Gabriele Tiboni, Raffaello Camoriano, Bedřich Rus

Furthermore, DRL aims to find an optimal control policy rather than a static parameter configuration, particularly suitable for dynamic processes involving sequential decision-making.

Decision Making reinforcement-learning