Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
CoRL, pp. 505-518, 2018.
We propose an approach for mapping natural language instructions and raw observations to continuous control of a quadcopter drone. Our model predicts interpretable position-visitation distributions indicating where the agent should go during execution and where it should stop, and uses the predicted distributions to select the actions to ...More
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