Safe Model-based Reinforcement Learning with Stability Guarantees

23 May 2017

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

50 / 194 papers shown

Title
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning Zhehua Zhou Ozgur S. Oguz Yi Ren M. Leibold M. Buss OffRL 22 0 0 10 Sep 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems Fangda Gu He Yin L. Ghaoui Murat Arcak Peter M. Seiler Ming Jin 25 25 0 08 Sep 2021
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications A. Capone Armin Lederer Sandra Hirche 32 18 0 06 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 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
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 23 57 0 11 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 66 1,112 0 07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 32 71 0 25 Jun 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 39 52 0 16 Jun 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 42 78 0 04 Jun 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 29 65 0 06 May 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control M. Mowbray Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona Dongda Zhang OffRL 37 34 0 23 Apr 2021
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning Zikang Xiong Suresh Jagannathan 34 6 0 20 Apr 2021
Data-Driven Robust Barrier Functions for Safe, Long-Term Operation Y. Emam Paul Glotfelter S. Wilson Gennaro Notomista M. Egerstedt 16 25 0 15 Apr 2021
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation S. A. Khader Hang Yin Pietro Falco Danica Kragic 21 12 0 30 Mar 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 45 20 0 26 Mar 2021
Lyapunov Barrier Policy Optimization Harshit S. Sikchi Wenxuan Zhou David Held 34 14 0 16 Mar 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 22 7 0 22 Feb 2021
Learning for MPC with Stability & Safety Guarantees S. Gros Mario Zanon 37 30 0 14 Dec 2020
Tutoring Reinforcement Learning via Feedback Control F. D. Lellis G. Russo M. D. Bernardo 19 6 0 12 Dec 2020
Safely Learning Dynamical Systems from Short Trajectories Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 29 4 0 24 Nov 2020
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty Andrew J. Taylor Victor D. Dorobantu Sarah Dean Benjamin Recht Yisong Yue Aaron D. Ames 27 35 0 21 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Enforcing robust control guarantees within neural network policies P. Donti Melrose Roderick Mahyar Fazlyab J. Zico Kolter OOD 24 61 0 16 Nov 2020
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin Koushil Sreenath 39 38 0 14 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 29 22 0 10 Nov 2020
Safety Verification of Model Based Reinforcement Learning Controllers Akshita Gupta Inseok Hwang 37 5 0 21 Oct 2020
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants Craig Knuth Glen Chou N. Ozay Dmitry Berenson 30 33 0 18 Oct 2020
Variable impedance control and learning -- A review Fares J. Abu-Dakka Matteo Saveriano AI4CE 41 148 0 13 Oct 2020
Parameter Optimization using high-dimensional Bayesian Optimization David Yenicelik 33 2 0 05 Oct 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 29 6 0 20 Sep 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 25 6 0 27 Aug 2020
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija Philip Amortila Joelle Pineau 46 51 0 26 Aug 2020
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework T. Lew Apoorva Sharma James Harrison Andrew Bylard Marco Pavone 28 44 0 26 Aug 2020
Improving Competence for Reliable Autonomy Connor Basich Justin Svegliato K. H. Wray Stefan J. Witwicki S. Zilberstein 27 8 0 23 Jul 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 23 91 0 22 Jun 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
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 23 44 0 12 Jun 2020
Avoiding Side Effects in Complex Environments Alexander Matt Turner Neale Ratzlaff Prasad Tadepalli 30 34 0 11 Jun 2020
In Proximity of ReLU DNN, PWA Function, and Explicit MPC Saman Fahandezh-Saadi Masayoshi Tomizuka 18 4 0 09 Jun 2020
An Ergodic Measure for Active Learning From Equilibrium Ian Abraham A. Prabhakar Todd D. Murphey 26 22 0 05 Jun 2020
Probabilistic Safety for Bayesian Neural Networks Matthew Wicker Luca Laurenti A. Patané Marta Z. Kwiatkowska AAML 14 52 0 21 Apr 2020
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties Richard Cheng M. J. Khojasteh Aaron D. Ames J. W. Burdick 27 87 0 11 Apr 2020
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties Qingrui Zhang Wei Pan V. Reppa 14 21 0 30 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 51 82 0 17 Mar 2020
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading Mingshuang Luo Shuang Yang Shiguang Shan Xilin Chen 27 41 0 09 Mar 2020
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 33 171 0 04 Mar 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 32 159 0 01 Mar 2020