Future of Reinforcement Learning
Jan believes unsupervised learning is key, while Aravind emphasizes the importance of reinforcement learning in industry. They discuss the potential of contrastive models and the need for large-scale imitation learning benchmarks to improve RL applications.In this clip
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Machine Learning Street Talk (MLST)
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
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