Todas as vagas
Practical Internship: Reinforcement Learning in Logistics
Boskalis
Papendrecht · HíbridoJúnior (0–2 anos)EstágioPublicada hoje
Sobre a vaga
O que você vai fazer
You will extend and configure an existing reinforcement learning model for dike construction projects to optimize soil-flow logistics. Your tasks include designing reward functions, training PPO agents, and validating model performance against real-world project data.
O que eles procuram
Candidates must be currently studying at a university level in Artificial Intelligence, Computer Science, or a related field with practical experience in reinforcement learning. Proficiency in Python and strong communication skills are required, along with the ability to work independently in the Netherlands.
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