Transfer from simulation to real world through learning deep inverse dynamics model

In three linesOpenAI develops a deep inverse dynamics model learning approach to transfer simulation-trained policies to real-world robots. The method reduces real-world data requirements by learning to predict actions from observations, improving generalization of simulation-trained policies.

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