Reinforcement Learning Efficiency
Tim discusses the challenges of deep reinforcement learning, highlighting its high sample inefficiency and the need for realistic expectations. He explores the limitations of current models and the significant amount of training required for even basic tasks, emphasizing the importance of efficient learning methods.In this clip
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Machine Learning Street Talk (MLST)
#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
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