Uncertainty-Aware Reinforcement Learning for Collision Avoidance

3 February 2017

Pieter Abbeel

Papers citing "Uncertainty-Aware Reinforcement Learning for Collision Avoidance"

50 / 76 papers shown

Title
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 238 0 0 21 Mar 2025
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 34 0 0 16 Sep 2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning Seyeon Kim Joonhun Lee Namhoon Cho Sungjun Han Seungeon Baek 47 0 0 05 Aug 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 39 0 0 28 May 2024
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty Anshul Nayak A. Eskandarian Zachary R. Doerzaph P. Ghorai 37 4 0 26 May 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Desong Du Shao-Fu Han Naiming Qi Haitham Bou-Ammar Jun Wang Wei Pan 39 15 0 16 May 2023
Failure-aware Policy Learning for Self-assessable Robotics Tasks Kechun Xu Runjian Chen Shuqing Zhao Zizhang Li Hongxiang Yu Ci Chen Yue Wang R. Xiong 20 1 0 25 Feb 2023
Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh Fu-Chieh Chang Chang-Wei Yueh Pei-Yuan Wu A. Bernacchia Sattar Vakili OffRL 30 4 0 01 Feb 2023
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving Liang Peng Boqi Li Wen-Hui Yu Kailiang Yang Wenbo Shao Hong Wang AAML 38 24 0 08 Nov 2022
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning Sirui Song Kirk Saunders Ye Yue Jundong Liu 17 3 0 12 Oct 2022
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning Mario Srouji Hugues Thomas Yao-Hung Tsai Ali Farhadi Jian Zhang 48 5 0 23 Sep 2022
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation Aaron M. Roth Jing Liang Ram D. Sriram Elham Tabassi Tianyi Zhou 34 1 0 19 Sep 2022
Flow Synthesis Based Visual Servoing Frameworks for Monocular Obstacle Avoidance Amidst High-Rises H. Sankhla M. N. Qureshi Shankara Narayanan Vaidyanathan Vedansh Mittal Gunjan Gupta Harit Pandya K. M. Krishna 25 2 0 07 Jul 2022
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems Ali Baheri Hao Ren B. Johnson Pouria Razzaghi Peng Wei 21 5 0 09 May 2022
AdaptiveON: Adaptive Outdoor Local Navigation Method For Stable and Reliable Actions Jing Liang K. Weerakoon Tianrui Guan N. Karapetyan Tianyi Zhou 11 12 0 07 May 2022
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation Anshul Nayak A. Eskandarian Zachary R. Doerzaph 29 22 0 04 May 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu E. Kampen Guido de Croon 36 16 0 28 Mar 2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning Q. Sun Jinbao Fang Weixing Zheng Yang Tang 19 27 0 26 Mar 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 26 41 0 20 Jan 2022
Towards Disturbance-Free Visual Mobile Manipulation Tianwei Ni Kiana Ehsani Luca Weihs Jordi Salvador 28 9 0 17 Dec 2021
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma Andrew Shen Osbert Bastani Dinesh Jayaraman 15 25 0 14 Dec 2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf 32 1 0 10 Dec 2021
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation J. Wong Albert Tung Andrey Kurenkov Ajay Mandlekar Li Fei-Fei Silvio Savarese Roberto Martín-Martín 26 54 0 09 Dec 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention Yunkun Xu Zhen-yu Liu Guifang Duan Jiangcheng Zhu X. Bai Jianrong Tan 18 9 0 10 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 13 105 0 05 Oct 2021
Domain Generalization for Vision-based Driving Trajectory Generation Yunkai Wang Dongkun Zhang Yuxiang Cui Zexi Chen Wei Jing Junbo Chen R. Xiong Yue Wang 36 3 0 22 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 24 9 0 17 Sep 2021
Lyapunov-based uncertainty-aware safe reinforcement learning Ashkan B. Jeddi Nariman L. Dehghani A. Shafieezadeh 14 7 0 29 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
Offline reinforcement learning with uncertainty for treatment strategies in sepsis Ran Liu J. Greenstein J. Fackler Jules Bergmann M. Bembea R. Winslow OffRL 14 7 0 09 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 61 1,112 0 07 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation Yen-Chen Lin Andy Zeng Shuran Song Phillip Isola Nayeon Lee SSL 19 87 0 01 Jul 2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance Wei Guo Marc Brittain Peng Wei 31 18 0 05 May 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 39 6 0 05 Mar 2021
High-Speed Robot Navigation using Predicted Occupancy Maps Kapil D. Katyal A. Polevoy Joseph L. Moore Craig Knuth K. Popek 30 24 0 22 Dec 2020
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors Michelle A. Lee Matthew Tan Yuke Zhu Jeannette Bohg 49 25 0 01 Dec 2020
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 38 143 0 27 Oct 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 16 90 0 27 Oct 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey Mohamed-Amine Lahmeri Mustafa A. Kishk Mohamed-Slim Alouini 31 102 0 24 Sep 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning Florian Fuchs Yunlong Song Elia Kaufmann Davide Scaramuzza Peter Dürr 26 124 0 18 Aug 2020
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations Jingyi Huang Yizheng Zhang F. Giardina A. Rosendo OffRL 22 1 0 21 Jul 2020
Depth by Poking: Learning to Estimate Depth from Self-Supervised Grasping Ben Goodrich Alex Kuefler William D. Richards SSL 21 6 0 16 Jun 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 Apr 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 29 16 0 24 Mar 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
AirSim Drone Racing Lab Ratnesh Madaan N. Gyde Sai H. Vemprala Matthew Brown Keiko Nagami Tim Taubner E. Cristofalo Davide Scaramuzza Mac Schwager Ashish Kapoor 19 73 0 12 Mar 2020
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien 21 25 0 31 Dec 2019
Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning Sheng Li M. Egorov Mykel Kochenderfer 34 32 0 20 Dec 2019