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【第191期】Value-Based RL可拓展性研究

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Value-Based Deep RL Scales Predictably

Summary

This research investigates the scaling properties of value-based deep reinforcement learning methods. The authors demonstrate that despite common beliefs, the performance of these methods can be predicted as computational resources and training data increase. They establish predictable relationships between key hyperparameters like batch size and learning rate, and the updates-to-data ratio. Furthermore, the study reveals a predictable Pareto…

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