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 …
distance and semantic category observations. The objective is to infer a cost function that …
Learning navigation costs from demonstrations with semantic observations
This paper focuses on inverse reinforcement learning (IRL) for autonomous robot navigation
using semantic observations. The objective is to infer a cost function that explains …
using semantic observations. The objective is to infer a cost function that explains …
WFA-IRL: Inverse reinforcement learning of autonomous behaviors encoded as weighted finite automata
This paper presents a method for learning logical task specifications and cost functions from
demonstrations. Constructing specifications by hand is challenging for complex objectives …
demonstrations. Constructing specifications by hand is challenging for complex objectives …
[PDF][PDF] Learning Navigation Costs from Demonstrations with Semantic Observations, Learning for Dynamics and Control
T Wang - Proceedings of the 2nd Conference on Learning for …, 2020 - par.nsf.gov
This paper focuses on inverse reinforcement learning (IRL) for autonomous robot navigation
using semantic observations. The objective is to infer a cost function that explains …
using semantic observations. The objective is to infer a cost function that explains …