Learning Navigation Behaviors End-to-End with AutoRL

26 September 2018

Papers citing "Learning Navigation Behaviors End-to-End with AutoRL"

49 / 49 papers shown

Title
Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning Meng Feng Viraj Parimi B. Williams 77 1 0 25 Feb 2025
RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation Zixuan Chen Jing Huo Yangtao Chen Yang Gao 48 3 0 11 Jan 2025
LatentBKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty Joey Wilson Ruihan Xu Yile Sun Parker Ewen Minghan Zhu Kira Barton Maani Ghaffari 43 0 0 15 Oct 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 47 1 0 09 Jun 2024
Robust Navigation with Cross-Modal Fusion and Knowledge Transfer Wenzhe Cai Guangran Cheng Lingyue Kong Lu Dong Changyin Sun 29 1 0 23 Sep 2023
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems Linh Kästner Marvin Meusel Teham Bhuiyan Jens Lambrecht 33 1 0 06 Feb 2023
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches Linh Kästner Reyk Carstens C. Liebig V.H. Shcherbyna Lena Nahrwold Subhin Lee Jens Lambrecht 36 3 0 06 Feb 2023
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation Teham Bhuiyan Linh Kästner Yifan Hu Benno Kutschank Jens Lambrecht 32 5 0 14 Jan 2023
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation Zifan Xu Bo Liu Xuesu Xiao Anirudh Nair Peter Stone 39 42 0 10 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 39 35 0 19 Sep 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 33 26 0 27 Jul 2022
Imagination-augmented Navigation Based on 2D Laser Sensor Observations Zhengcheng Shen Linh Kästner Magdalena Yordanova Jens Lambrecht 15 1 0 12 Jun 2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments Linh Kästner Teham Bhuiyan T. Le Elias Treis Johanne Cox ... Reyk Carstens Duc Pichel Bassel Fatloun Niloufar Khorsandi Jens Lambrecht 36 37 0 12 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
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics Haresh Karnan Kavan Singh Sikand P. Atreya Sadegh Rabiee Xuesu Xiao Garrett A. Warnell Peter Stone Joydeep Biswas 36 43 0 30 Mar 2022
WayFAST: Navigation with Predictive Traversability in the Field M. V. Gasparino A. N. Sivakumar Yixiao Liu A. E. B. Velasquez V. A. H. Higuti J. Rogers Huy T. Tran Girish Chowdhary 20 55 0 22 Mar 2022
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments Joey Wilson Jingyu Song Yuewei Fu Arthur Zhang Andrew Capodieci P. Jayakumar Kira Barton Maani Ghaffari 3DPC 30 39 0 14 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning Hongpeng Cao Mirco Theile Federico G. Wyrwal Marco Caccamo 43 6 0 04 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Coupling Vision and Proprioception for Navigation of Legged Robots Zipeng Fu Ashish Kumar Ananye Agarwal Haozhi Qi Jitendra Malik Deepak Pathak 21 73 0 03 Dec 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 30 9 0 24 Nov 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
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback Zizhao Wang Xuesu Xiao Garrett A. Warnell Peter Stone 25 44 0 22 Aug 2021
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference Aishwarya Unnikrishnan Joey Wilson Lu Gan Andrew Capodieci P. Jayakumar Kira Barton Maani Ghaffari 3DPC 42 7 0 06 Aug 2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution Valts Blukis Chris Paxton Dieter Fox Animesh Garg Yoav Artzi LM&Ro 214 135 0 12 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021
Language Understanding for Field and Service Robots in a Priori Unknown Environments Matthew R. Walter Siddharth Patki Andrea F. Daniele E. Fahnestock Felix Duvallet Sachithra Hemachandra Jean Oh A. Stentz Nicholas Roy T. Howard LM&Ro 25 8 0 21 May 2021
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators Linh Kästner Teham Buiyan Xinlin Zhao Zhengcheng Shen Cornelius Marx Jens Lambrecht 24 29 0 08 Apr 2021
Self-Imitation Learning by Planning Junhyuk Oh Yijie Guo Satinder Singh SSL 35 86 0 25 Mar 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies Haoxin Ma Justin S. Smith Patricio A. Vela 23 4 0 02 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Frank Hutter Roberto Calandra 29 100 0 26 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 517 0 04 Feb 2021
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination Xuesu Xiao Bo Liu Garrett A. Warnell Peter Stone 28 54 0 28 Jul 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots M. Lucchi Friedemann Zindler Stephan Mühlbacher-Karrer Horst Pichler OffRL 30 29 0 06 Jul 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor Varun Tolani Somil Bansal Aleksandra Faust Claire Tomlin 17 39 0 20 Mar 2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path Keita Ota Y. Sasaki Devesh K. Jha Yusuke Yoshiyasu Asako Kanezaki 27 18 0 03 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 29 169 0 20 Feb 2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System G. Kahn Pieter Abbeel Sergey Levine SSL 19 260 0 13 Feb 2020
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey Yang Tang Chaoqiang Zhao Jianrui Wang Chongzhen Zhang Qiyu Sun Weixing Zheng W. Du Feng Qian Jürgen Kurths 18 65 0 08 Jan 2020
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 30 100 0 24 Oct 2019
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation Xinlei Pan Tingnan Zhang Brian Ichter Aleksandra Faust Jie Tan Sehoon Ha 57 25 0 27 Sep 2019
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation David Watkins-Valls Jingxi Xu Nicholas R. Waytowich Peter K. Allen SSL 33 15 0 20 Sep 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 286 0 12 Jun 2019
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation Srivatsan Krishnan Behzad Boroujerdian William Fu Aleksandra Faust Vijay Janapa Reddi 16 36 0 02 Jun 2019
Long Range Neural Navigation Policies for the Real World Ayzaan Wahid Alexander Toshev Marek Fiser T. Lee 24 17 0 23 Mar 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 27 244 0 28 Jan 2019
$Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion$ Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion Dorian Tsai D. Dansereau T. Peynot Peter Corke 25 14 0 31 May 2018