Safe and Robust Reinforcement Learning: Principles and Practice

27 March 2024

Papers citing "Safe and Robust Reinforcement Learning: Principles and Practice"

50 / 52 papers shown

Title
Reinforcement learning Florentin Wörgötter 75 2,554 0 16 May 2024
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms Akifumi Wachi Wataru Hashimoto Xun Shen Kazumune Hashimoto 53 10 0 05 Oct 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 98 497 0 27 Jul 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 297 3,712 0 29 May 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 174 75 0 08 Sep 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 149 250 0 20 May 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 73 27 0 22 Mar 2022
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization Quanyi Li Zhenghao Peng Bolei Zhou 114 35 0 17 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning Denis Yarats David Brandfonbrener Hao Liu Michael Laskin Pieter Abbeel A. Lazaric Lerrel Pinto OffRL OnRL 55 86 0 31 Jan 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 73 174 0 10 Jan 2022
Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills Taku Yamagata Ryan McConville Raúl Santos-Rodríguez 18 7 0 16 Nov 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 113 49 0 06 Oct 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 50 610 0 13 Aug 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training Kimin Lee Laura M. Smith Pieter Abbeel OffRL 56 282 0 09 Jun 2021
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving C. Hoel Krister Wolff L. Laine UQCV EDL 44 40 0 21 May 2021
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving Briti Gangopadhyay Harshit Soora P. Dasgupta 28 35 0 25 Mar 2021
Safe Multi-Agent Reinforcement Learning via Shielding Ingy Elsayed-Aly Suda Bharadwaj Chris Amato Rüdiger Ehlers Ufuk Topcu Lu Feng 35 94 0 27 Jan 2021
Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control Taku Yamagata A. O'Kane Amid Ayobi Dmitri S. Katz Katarzyna Stawarz P. Marshall Peter A. Flach Raúl Santos-Rodríguez University of Bristol OOD BDL OffRL 11 10 0 13 Oct 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 157 724 0 24 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 91 11 0 30 Aug 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 188 1,338 0 15 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 316 1,950 0 11 Apr 2020
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 173 4,395 0 07 Nov 2019
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 44 178 0 21 Oct 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 69 210 0 21 May 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 47 96 0 31 Mar 2019
The Ethics of AI Ethics -- An Evaluation of Guidelines Thilo Hagendorff AI4TS 58 1,174 0 28 Feb 2019
Trust Region-Guided Proximal Policy Optimization Yuhui Wang Hao He Xiaoyang Tan Yaozhong Gan OffRL 43 56 0 29 Jan 2019
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation Fan Wang Bo Zhou Ke Chen Tingxiang Fan Xi Zhang Jiangyong Li Hao Tian Jia Pan 29 26 0 15 Nov 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 55 756 0 08 Oct 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 51 359 0 20 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 83 529 0 14 Jun 2018
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 66 540 0 28 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 152 504 0 20 May 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 71 505 0 26 Jan 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 66 139 0 18 Nov 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 87 756 0 27 Oct 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 82 1,497 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 285 18,685 0 20 Jul 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention William Saunders Girish Sastry Andreas Stuhlmuller Owain Evans OffRL 59 231 0 17 Jul 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 105 3,243 0 12 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 101 1,313 0 30 May 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 139 845 0 23 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 781 11,793 0 09 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 83 848 0 08 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 295 814 0 13 Nov 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 40 566 0 16 Jun 2016
Cooperative Inverse Reinforcement Learning Dylan Hadfield-Menell Anca Dragan Pieter Abbeel Stuart J. Russell 65 643 0 09 Jun 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 54 208 0 08 Jun 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria Yinlam Chow Mohammad Ghavamzadeh Lucas Janson Marco Pavone 66 510 0 05 Dec 2015