CNNs in Deep Learning
Tim and Aravind discuss the role of Convolutional Neural Networks (CNNs) in deep learning, highlighting how CNNs can outperform state variables due to their structure and weight sharing. They explore the challenges of achieving state-of-the-art results in environments with partially observable physical states, emphasizing the potential of CNNs across various modalities.In this clip
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Machine Learning Street Talk (MLST)
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
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