Uncertainty-Aware Reinforcement Learning for Collision Avoidance

3 February 2017

Pieter Abbeel

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

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Title
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 155 0 0 21 Mar 2025
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 25 0 0 16 Sep 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 29 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 35 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 24 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 23 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 33 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
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation Aaron M. Roth Jing Liang Ram D. Sriram Elham Tabassi Dinesh Manocha 26 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 13 5 0 09 May 2022
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation Anshul Nayak A. Eskandarian Zachary R. Doerzaph 21 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 21 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 24 41 0 20 Jan 2022
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 24 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 24 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 10 9 0 10 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael H. 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 11 103 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 28 3 0 22 Sep 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 12 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 6 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 32 1,109 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 Tsung-Yi Lin SSL 16 87 0 01 Jul 2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance Wei Guo Marc Brittain Peng Wei 21 18 0 05 May 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 32 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 41 25 0 01 Dec 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 11 90 0 27 Oct 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey Mohamed-Amine Lahmeri Mustafa A. Kishk Mohamed-Slim Alouini 18 102 0 24 Sep 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
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 38 348 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 11 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 13 25 0 31 Dec 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 16 68 0 24 Nov 2019
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception Maymoonah Toubeh Pratap Tokekar UQCV 9 4 0 13 Sep 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 31 289 0 16 Jul 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 23 73 0 08 Jul 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 13 0 05 Jun 2019
The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments Aniket Bera Tanmay Randhavane R. Prinja Kyra Kapsaskis Austin Wang Kurt Gray Dinesh Manocha 22 22 0 07 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
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 20 122 0 08 Jan 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 26 377 0 03 Dec 2018
On Offline Evaluation of Vision-based Driving Models Felipe Codevilla Antonio M. López V. Koltun Alexey Dosovitskiy OffRL 20 102 0 13 Sep 2018
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes Tongfei Chen Jirí Navrátil Vijay Iyengar Karthikeyan Shanmugam 10 42 0 14 May 2018