METHOD AND DEVICE WITH REINFORCEMENT LEARNING TRANSFERAL
A method and device with transferal of reinforcement learning are disclosed. The method includes: approximating an optimal value-function for a task vector using a value approximator trained to output a minimum value-function using a state of an agent and source task vectors; determining an upper bo...
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Sprache: | eng |
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Zusammenfassung: | A method and device with transferal of reinforcement learning are disclosed. The method includes: approximating an optimal value-function for a task vector using a value approximator trained to output a minimum value-function using a state of an agent and source task vectors; determining an upper bound of the optimal value-function for the task vector; determining a lower bound of the optimal value-function for the task vector; correcting the optimal value-function for the task vector based on the upper bound and the lower bound; and determining an optimal policy for the task vector using the corrected optimal value-function for the task vector. |
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