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) department at Telecom Paris. Reinforcement learning (RL) has emerged as a useful paradigm for training agents to perform complex tasks. Model-based RL (MBRL), in particular, promises greater sample efficiency
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within the LTCI laboratory, specializing in the design and security of integrated and embedded systems. Its work focuses on modeling, simulation, and automatic code generation to facilitate the design of
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