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systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents for autonomous vehicles or robots operating in dynamic
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, starting as soon as possible, to support different projects and the supervision of doctoral researchers in the team. The Mobilab team is a dynamic group with broad research competences and interests, with
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