Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation

17 Jul 2018 Peter Karkus David Hsu Wee Sun Lee

We propose to take a novel approach to robot system design where each building block of a larger system is represented as a differentiable program, i.e. a deep neural network. This representation allows for integrating algorithmic planning and deep learning in a principled manner, and thus combine the benefits of model-free and model-based methods... (read more)

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