Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations

18 May 2018

Roland Siegwart

Papers citing "Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations"

26 / 26 papers shown

Title
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments Kehan Long Yinzhuang Yi Zhirui Dai Sylvia Herbert Jorge Cortés Nikolay Atanasov 137 4 0 28 May 2024
Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance Yang Wang Bo Dong Yuji Zhang Yunduo Zhou Haiyang Mei Ziqi Wei Xin Yang 32 4 0 03 Oct 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles Zhanteng Xie P. Dames 46 61 0 16 Jan 2023
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 25 3 0 07 Oct 2022
Learning Depth Vision-Based Personalized Robot Navigation From Dynamic Demonstrations in Virtual Reality Jorge de Heuvel Nathan Corral Benedikt Kreis Jacobus Conradi Anne Driemel Maren Bennewitz 37 13 0 04 Oct 2022
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control Murad Dawood Nils Dengler Jorge de Heuvel Maren Bennewitz 24 9 0 04 Oct 2022
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation Wenqi Zhang Kai Zhao Peng Li Xiao Zhu Yongliang Shen Yanna Ma Yingfeng Chen Weiming Lu LRM 29 8 0 25 Jul 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming Davide Corsi Raz Yerushalmi Guy Amir Alessandro Farinelli D. Harel Guy Katz 27 19 0 20 Jun 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 94 37 0 26 May 2022
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation Haresh Karnan Anirudh Nair Xuesu Xiao Garrett A. Warnell S. Pirk Alexander Toshev Justin W. Hart Joydeep Biswas Peter Stone 21 115 0 28 Mar 2022
Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study Jorge de Heuvel Nathan Corral Lilli Bruckschen Maren Bennewitz 30 14 0 28 Mar 2022
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control F. D. Lellis M. Coraggio G. Russo Mirco Musolesi M. D. Bernardo 13 7 0 11 Dec 2021
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach Wenqi Zhang Kai Zhao Peng Li Xiaochun Zhu Faping Ye Wei Jiang Huiqiao Fu Tao Wang 28 8 0 16 Nov 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 26 5 0 11 Oct 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach Minghao Li Yingrui Jie Yang Kong Hui Cheng 43 9 0 17 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 38 54 0 31 Aug 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 21 6 0 04 Aug 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 58 780 0 12 Jun 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving Zhiyu Huang Jingda Wu Chen Lv 19 132 0 19 Mar 2021
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments Daniel Dugas Juan I. Nieto Roland Siegwart Jen Jen Chung SSL 24 51 0 08 Dec 2020
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach Wei Zhang Ning Liu Yunfeng Zhang 3DPC 16 20 0 20 Oct 2020
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data Lei He Nabil Aouf J. Whidborne Bifeng Song 18 26 0 06 Aug 2020
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination Xuesu Xiao Bo Liu Garrett A. Warnell Peter Stone 15 54 0 28 Jul 2020
On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 35 40 0 09 Jan 2020
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 15 10 0 11 Nov 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 11 244 0 28 Jan 2019