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Safe Model-based Reinforcement Learning with Stability Guarantees

23 May 2017

Papers citing "Safe Model-based Reinforcement Learning with Stability Guarantees"

50 / 471 papers shown

Title
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao Tairan He Changliu Liu 229 24 0 03 Oct 2022
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance Y. Okawa Tomotake Sasaki H. Yanami T. Namerikawa 98 5 0 30 Sep 2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments Yixuan Wang S. Zhan Ruochen Jiao Zhilu Wang Wanxin Jin Zhuoran Yang Zhaoran Wang Chao Huang Qi Zhu 209 60 0 29 Sep 2022
Guiding Safe Exploration with Weakest Preconditions Greg Anderson Swarat Chaudhuri Işıl Dillig 115 6 0 28 Sep 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu Kuo Zhang Davide Tateo Snehal Jauhri Zhiyuan Hu Jan Peters Georgia Chalvatzaki 141 20 0 27 Sep 2022
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty Mohamad H. Danesh Panpan Cai David Hsu 136 9 0 23 Sep 2022
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret Sheelabhadra Dey Sumedh Pendurkar Guni Sharon Josiah P. Hanna 115 11 0 20 Sep 2022
Measuring Interventional Robustness in Reinforcement Learning Katherine Avery Jack Kenney Pracheta Amaranath Erica Cai David D. Jensen 83 0 0 19 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 233 49 0 16 Sep 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang Pham 195 1 0 15 Sep 2022
Trust in Language Grounding: a new AI challenge for human-robot teams David M. Bossens C. Evers 138 1 0 05 Sep 2022
A stabilizing reinforcement learning approach for sampled systems with partially unknown models Lukas Beckenbach Pavel Osinenko S. Streif OffRL 79 1 0 31 Aug 2022
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions F. Castañeda Jason J. Choi Wonsuhk Jung Bike Zhang Claire Tomlin Koushil Sreenath 133 8 0 23 Aug 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 110 10 0 29 Jul 2022
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning Ilnura N. Usmanova Yarden As Maryam Kamgarpour Andreas Krause OffRL 160 12 0 21 Jul 2022
A framework for online, stabilizing reinforcement learning Grigory Yaremenko Georgiy Malaniya Pavel Osinenko OffRL OnRL 136 1 0 18 Jul 2022
Lipschitz Bound Analysis of Neural Networks S. Bose AAML 90 0 0 14 Jul 2022
Compactly Restrictable Metric Policy Optimization Problems Victor D. Dorobantu Kamyar Azizzadenesheli Yisong Yue 42 0 0 12 Jul 2022
Offline Policy Optimization with Eligible Actions Yao Liu Yannis Flet-Berliac Emma Brunskill OffRL 88 5 0 01 Jul 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control Katie Kang Paula Gradu Jason J. Choi Michael Janner Claire Tomlin Sergey Levine 103 28 0 21 Jun 2022
Guided Safe Shooting: model based reinforcement learning with safety constraints Giuseppe Paolo Jonas Gonzalez-Billandon Albert Thomas Jun Yao 117 3 0 20 Jun 2022
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning He-lu Huang Zerui Li Dongkun Han 133 3 0 16 Jun 2022
Effects of Safety State Augmentation on Safe Exploration Aivar Sootla Alexander I. Cowen-Rivers Jun Wang H. Ammar OffRL 104 2 0 06 Jun 2022
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL Abhinav Bhatia Philip S. Thomas S. Zilberstein OffRL 105 3 0 06 Jun 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees Rui Zhou Thanin Quartz H. Sterck Jun Liu 122 63 0 04 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Yue Liu Ding Zhao OOD OffRL 138 40 0 29 May 2022
Learning Stabilizing Policies in Stochastic Control Systems Dorde Zikelic Mathias Lechner K. Chatterjee T. Henzinger 93 4 0 24 May 2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 196 64 0 24 May 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 399 281 0 20 May 2022
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking Hanna Krasowski Jakob Thumm Marlon Müller Lukas Schäfer Xiao Wang Matthias Althoff 196 27 0 13 May 2022
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 136 2 0 16 Apr 2022
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning Qiuhao Chen Yuxuan Du Qi Zhao Yuliang Jiao Xiliang Lu Xingyao Wu 106 14 0 14 Apr 2022
Verification of safety critical control policies using kernel methods Nikolaus Vertovec Sina Ober-Blobaum Kostas Margellos 152 2 0 23 Mar 2022
Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems Luca Furieri C. Galimberti Giancarlo Ferrari-Trecate 103 17 0 22 Mar 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 97 17 0 15 Mar 2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems Jochen Stiasny Samuel C. Chevalier Rahul Nellikkath Brynjar Sævarsson Spyros Chatzivasileiadis 151 17 0 14 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series Christoffer Loeffler Wei-Cheng Lai Bjoern M. Eskofier Dario Zanca Lukas M. Schmidt Christopher Mutschler AI4TS FAtt 203 6 0 14 Mar 2022
Prediction Sets Adaptive to Unknown Covariate Shift Hongxiang Qiu Guang Cheng E. T. Tchetgen 171 26 0 11 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control Marco Oliva Soubarna Banik Josip Josifovski Alois Knoll 114 5 0 11 Mar 2022
Safe Reinforcement Learning for Legged Locomotion Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 135 45 0 05 Mar 2022
Fail-Safe Adversarial Generative Imitation Learning Philipp Geiger C. Straehle GAN 120 2 0 03 Mar 2022
Model-free Neural Lyapunov Control for Safe Robot Navigation Zikang Xiong Joe Eappen A. H. Qureshi Suresh Jagannathan 106 12 0 02 Mar 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh L. Wynter Shiau Hong Lim D. Nguyen 90 0 0 27 Feb 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 119 285 0 23 Feb 2022
Accelerating Primal-dual Methods for Regularized Markov Decision Processes Haoya Li Hsiang-Fu Yu Lexing Ying Inderjit Dhillon 122 4 0 21 Feb 2022
TransDreamer: Reinforcement Learning with Transformer World Models Changgu Chen Yi-Fu Wu Jaesik Yoon Sungjin Ahn OffRL 144 113 0 19 Feb 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 157 60 0 14 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 147 7 0 10 Feb 2022
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings Adam J. Thorpe T. Lew Meeko Oishi Marco Pavone 115 22 0 08 Feb 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 234 6 0 01 Feb 2022