Safe Reinforcement Learning with Model Uncertainty Estimates

19 October 2018

Björn Lütjens

Papers citing "Safe Reinforcement Learning with Model Uncertainty Estimates"

39 / 39 papers shown

Title
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 217 0 0 21 Mar 2025
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 30 0 0 16 Sep 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 40 1 0 26 Jul 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 47 1 0 06 Jun 2024
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking F. Lotfi K. Virji Nicholas Dudek Gregory Dudek 27 0 0 29 Jan 2024
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 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
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 29 4 0 12 Jan 2023
Don't do it: Safer Reinforcement Learning With Rule-based Guidance Ekaterina Nikonova Cheng Xue Jochen Renz 32 0 0 28 Dec 2022
Cognitive Level- $k$ Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving Haozhe Lei Quanyan Zhu 22 0 0 17 Dec 2022
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 36 24 0 08 Nov 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 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
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu E. Kampen Guido de Croon 34 16 0 28 Mar 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 15 2 0 22 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
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning Aaqib Parvez Mohammed Matias Valdenegro-Toro OOD OffRL 21 10 0 05 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
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He Yuxun Qu Chen Gong Xinwen Hou OffRL 22 10 0 22 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 Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration Christian Ellis Maggie B. Wigness J. Rogers Craig T. Lennon L. Fiondella 90 6 0 31 Jul 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 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 1,111 0 07 Jul 2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance Wei Guo Marc Brittain Peng Wei 31 18 0 05 May 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control M. Mowbray Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona Dongda Zhang OffRL 34 34 0 23 Apr 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees Aaron M. Roth Jing Liang Tianyi Zhou 52 8 0 22 Apr 2021
Model Predictive Contouring Control for Collision Avoidance in Unstructured Dynamic Environments B. Brito B. Floor L. Ferranti Javier Alonso-Mora 8 146 0 20 Oct 2020
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles Pengyue Wang Y. Li Shashi Shekhar W. Northrop AAML 13 8 0 01 Jun 2020
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking Lenz Belzner M. Wirsing 8 4 0 08 May 2020
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds A. Sathyamoorthy Utsav Patel Tianrui Guan Tianyi Zhou AI4CE 26 70 0 11 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
DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors A. Sathyamoorthy Jing Liang Utsav Patel Tianrui Guan Rohan Chandra Tianyi Zhou 27 85 0 07 Feb 2020
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 21 6 0 08 Nov 2019
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 146 509 0 04 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 189 583 0 26 Sep 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 73 312 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015