Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning

1 Jan 2021 Tianyu Wang Vikas Dhiman Nikolay Atanasov

This paper focuses on inverse reinforcement learning for autonomous navigation using distance and semantic category observations. The objective is to infer a cost function that explains demonstrated behavior while relying only on the expert's observations and state-control trajectory... (read more)

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