Expanding Reinforcement Learning
The reinforcement learning community has heavily focused on control and robotics, but there's a growing need to explore its applications in diverse fields like education and medical decision-making. By testing algorithms in areas such as recommender systems, we can unlock their potential for sequential decision-making, emphasizing the importance of understanding how actions influence future outcomes.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Trends in Reinforcement Learning with Chelsea Finn - #335
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