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  1. Neural networks made easy (Part 69): Density-based support constraint for the behavioral policy (SPOT)

    by , 07-31-2024 at 08:30 AM
    Offline reinforcement learning allows the training of models based on data collected from interactions with the environment. This allows a significant reduction of the process of interacting with the environment. Moreover, given the complexity of environmental modeling, we can collect real-time data from multiple research agents and then train the model using this data.

    At the same time, using a static training dataset significantly reduces the environment information available to us.
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