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environments Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups Refine a real-time planning and execution architecture
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for epidemiology with some coding of simulations. Tentative start date: February 2026. This work will contribute towards the understanding of disease progression and building reinforcement learning frameworks
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