Reinforced imitation: Sample efficient deep reinforcement learning for mapless navigation by leveraging prior demonstrations
This letter presents a case study of a learning-based approach for target-driven mapless
navigation. The underlying navigation model is an end-to-end neural network, which is …
navigation. The underlying navigation model is an end-to-end neural network, which is …
[PDF][PDF] Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
M Pfeiffer, S Shukla, M Turchetta, C Cadena, A Krause… - researchgate.net
This work presents a learning-based approach for target driven map-less navigation. The
underlying navigation model is an end-to-end neural network which is trained using a …
underlying navigation model is an end-to-end neural network which is trained using a …
[引用][C] Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations
M Pfeiffer, S Shukla, M Turchetta… - IEEE Robotics …, 2018 - research-collection.ethz.ch
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by
Leveraging Prior Demonstrations - Research Collection Header Upper Right Menu Log in de …
Leveraging Prior Demonstrations - Research Collection Header Upper Right Menu Log in de …
[PDF][PDF] Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
M Pfeiffer, S Shukla, M Turchetta, C Cadena, A Krause… - las.inf.ethz.ch
This work presents a case study of a learning-based approach for target driven map-less
navigation. The underlying navigation model is an end-to-end neural network which is …
navigation. The underlying navigation model is an end-to-end neural network which is …
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
M Pfeiffer, S Shukla, M Turchetta, C Cadena… - arXiv preprint arXiv …, 2018 - arxiv.org
This work presents a case study of a learning-based approach for target driven map-less
navigation. The underlying navigation model is an end-to-end neural network which is …
navigation. The underlying navigation model is an end-to-end neural network which is …
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
M Pfeiffer, S Shukla, M Turchetta, C Cadena… - arXiv e …, 2018 - ui.adsabs.harvard.edu
This work presents a case study of a learning-based approach for target driven map-less
navigation. The underlying navigation model is an end-to-end neural network which is …
navigation. The underlying navigation model is an end-to-end neural network which is …
[引用][C] Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations
M Pfeiffer, S Shukla, M Turchetta, C Cadena… - IEEE Robotics and …, 2018 - cir.nii.ac.jp
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by
Leveraging Prior Demonstrations | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …
Leveraging Prior Demonstrations | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …
[PDF][PDF] Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
M Pfeiffer, S Shukla, M Turchetta, C Cadena, A Krause… - researchgate.net
This work presents a case study of a learning-based approach for target driven map-less
navigation. The underlying navigation model is an end-to-end neural network which is …
navigation. The underlying navigation model is an end-to-end neural network which is …