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Is Apache Spark a good fit for Reinforcement learning?
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Answer / Amit Kumar Gill
Apache Spark can be used for reinforcement learning, but it's not the best-suited tool for this task. Reinforcement learning requires repeated trials with feedback and updates to the model after each trial, which can lead to high computational requirements. Libraries like TensorFlow or PyTorch are more suitable for reinforcement learning due to their efficiency in handling large neural networks and parallel computation.
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