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Question using LSTM to predict.

Discussion in 'ML-Agents' started by ice_creamer, Aug 25, 2023.

  1. ice_creamer

    ice_creamer

    Joined:
    Jul 28, 2022
    Posts:
    34
    In deep learning, LSTMs are mostly used to predict data. In ML-Agents. 1. If LSTM is enabled, is its input our observation? 2. Is it decided by the network itself to remember and forget it? For example, if the agent wants to go to a certain location, observe the current position, distance, angle, etc., and decide which ones will be remembered through the change LSTM of the reward? The output of LSTM is partial observation? 3. If predictions are to be used, such as in a hide-and-seek game, where the agent collects data on a certain step of the hideer to predict the next steps of its cache, can this be done? How do I do that?