Search Results for author: Shu Ishida

Found 1 papers, 0 papers with code

Towards real-world navigation with deep differentiable planners

no code implementations8 Aug 2021 Shu Ishida, João F. Henriques

To avoid the potentially hazardous trial-and-error of reinforcement learning, we focus on differentiable planners such as Value Iteration Networks (VIN), which are trained offline from safe expert demonstrations.

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