Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

17 July 2017

Papers citing "Trial without Error: Towards Safe Reinforcement Learning via Human Intervention"

45 / 45 papers shown

Title
MILE: Model-based Intervention Learning Yigit Korkmaz Erdem Bıyık 88 2 0 21 Feb 2025
Learning from Active Human Involvement through Proxy Value Propagation Zhenghao Peng Wenjie Mo Chenda Duan Quanyi Li Bolei Zhou 107 14 0 05 Feb 2025
Safe Navigation for Robotic Digestive Endoscopy via Human Intervention-based Reinforcement Learning Min Tan Yushun Tao Boyun Zheng GaoSheng Xie Lijuan Feng Zeyang Xia Jing Xiong 27 0 0 24 Sep 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 51 1 0 28 Jun 2024
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 34 0 0 21 Sep 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 25 4 0 03 Jul 2023
An Emergency Disposal Decision-making Method with Human--Machine Collaboration Yibo Guo Jingyi Xue Yingkang Zhang Mingliang Xu 33 0 0 29 May 2023
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments Hongyi Chen Changliu Liu OffRL 19 14 0 24 Mar 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 34 14 0 25 Feb 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 27 0 0 02 Feb 2023
Don't do it: Safer Reinforcement Learning With Rule-based Guidance Ekaterina Nikonova Cheng Xue Jochen Renz 32 0 0 28 Dec 2022
Progress and summary of reinforcement learning on energy management of MPS-EV Jincheng Hu Yang Lin Liang Chu Zhuoran Hou Jihan Li Jingjing Jiang Yuanjian Zhang 23 12 0 08 Nov 2022
Safe Policy Improvement in Constrained Markov Decision Processes Luigi Berducci Radu Grosu OffRL 36 2 0 20 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 48 11 0 11 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 88 27 0 14 Sep 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 45 35 0 29 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 26 324 0 02 May 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 32 4 0 20 Jan 2022
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles Xinglong Zhang Yaoqian Peng Biao Luo Wei Pan Xin Xu Haibin Xie 27 11 0 18 Dec 2021
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft Vinicius G. Goecks Nicholas R. Waytowich David Watkins Bharat Prakash 13 7 0 07 Dec 2021
A note on stabilizing reinforcement learning Pavel Osinenko Grigory Yaremenko Ilya Osokin 14 2 0 24 Nov 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
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning Qiang Liu Nakjung Choi Tao Han OffRL 29 29 0 02 Nov 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 29 11 0 27 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 0 14 Sep 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 81 28 0 13 Jul 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chao Huang Zhongxu Hu Peng Hang Yang Xing Chen Lv 36 40 0 15 Apr 2021
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach Shashi Suman Ali Etemad F. Rivest 27 15 0 26 Feb 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 20 7 0 22 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 26 14 0 18 Feb 2021
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 26 14 0 17 Nov 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 62 33 0 16 Jun 2020
Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet Joel Lehman 17 32 0 08 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks Alexander Egiazarov Vasileios Mavroeidis Fabio Massimo Zennaro Kamer Vishi 15 18 0 11 Feb 2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning Fei Ye Xuxin Cheng Pin Wang Ching-yao Chan Jiucai Zhang 21 98 0 07 Feb 2020
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 27 17 0 22 Oct 2019
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments Vinicius G. Goecks Gregory M. Gremillion Vernon J. Lawhern J. Valasek Nicholas R. Waytowich OffRL 19 31 0 09 Oct 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks Ruohan Zhang F. Torabi L. Guan D. Ballard Peter Stone 19 87 0 21 Sep 2019
Conservative Agency via Attainable Utility Preservation Alexander Matt Turner Dylan Hadfield-Menell Prasad Tadepalli 14 49 0 26 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 361 0 30 Jan 2019
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 30 409 0 07 Dec 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 396 0 19 Nov 2018
HG-DAgger: Interactive Imitation Learning with Human Experts Michael Kelly Chelsea Sidrane Katherine Driggs-Campbell Mykel J. Kochenderfer OffRL 11 218 0 05 Oct 2018
AGI Safety Literature Review Tom Everitt G. Lea Marcus Hutter AI4CE 36 115 0 03 May 2018