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rather than one-shot scenario evaluation. The core research directions of the PhD project include: (i) multi-agent RL to jointly learn policies for multiple control parameters; (ii) uncertainty-aware
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assessment. Design and train reinforcement learning agents to optimize operational safety. Build and validate dynamic Bayesian network models integrating empirical and synthetic data. Conduct scenario-based
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