Convergent Learning
Tim and Minqi delve into the concept of performative prediction, where model predictions influence future data distribution, potentially leading to a stationary learning point. They discuss the importance of avoiding equilibrium in open-ended learning to ensure continuous model improvement.In this clip
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Machine Learning Street Talk (MLST)
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
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