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Reinforcement Learning
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FDS Seminar: Ilyas Fatkhullin (ETHZ), “Toward Dependable Reinforcement Learning: Hidden Structures and Safe Optimization”
Zoom Password: 123 Abstract: Modern reinforcement learning (RL) has enabled impressive progress in sequential decision-making, yet state-of-the-art performance often requires enormous engineering efforts and […]
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FDS x Applied Physics Colloquium: Grant Rotskoff (Stanford), “Efficient variational inference with generative models”
Abstract: Neural networks continue to surprise us with their remarkable capabilities for high-dimensional function approximation. Applications of machine learning now pervade essentially every scientific […]