Safe Exploration in Markov Decision Processes

22 May 2012

Pieter Abbeel

Papers citing "Safe Exploration in Markov Decision Processes"

43 / 43 papers shown

Title
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 94 1 0 08 Oct 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Safe Active Learning for Time-Series Modeling with Gaussian Processes Christoph Zimmer Mona Meister D. Nguyen-Tuong AI4TS 14 52 0 09 Feb 2024
Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows Xiaoshan Lin Abbasali Koochakzadeh Yasin Yazıcıoğlu Derya Aksaray 18 1 0 29 Jul 2023
Constrained Exploration in Reinforcement Learning with Optimality Preservation Peter C. Y. Chen 11 0 0 05 Apr 2023
Online Planning of Uncertain MDPs under Temporal Tasks and Safe-Return Constraints Yuyang Zhang Meng Guo 10 0 0 10 Feb 2023
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 23 13 0 09 Dec 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 35 9 0 29 Jul 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models Zhongyu Li Jun Zeng A. Thirugnanam K. Sreenath 24 16 0 11 May 2022
Safe Reinforcement Learning Using Black-Box Reachability Analysis Mahmoud Selim Amr Alanwar Shreyas Kousik G. Gao Marco Pavone Karl H. Johansson 13 33 0 15 Apr 2022
Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake Shahaf S. Shperberg Bo Liu Peter Stone 34 7 0 19 Feb 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 35 26 0 17 Dec 2021
Replay For Safety Liran Szlak Ohad Shamir OffRL 8 0 0 08 Dec 2021
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine Ilker Demirel Ahmet Çelik Cem Tekin 31 4 0 26 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 98 49 0 06 Oct 2021
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control Yuheng Wang Margaret P. Chapman 38 32 0 18 Sep 2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 104 56 0 13 Sep 2021
Safe Learning of Lifted Action Models Brendan Juba H. Le Roni Stern 16 25 0 09 Jul 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 13 7 0 22 Feb 2021
Safety Verification of Model Based Reinforcement Learning Controllers Akshita Gupta Inseok Hwang 37 5 0 21 Oct 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 49 33 0 16 Jun 2020
Learning under Invariable Bayesian Safety Gal Bahar Omer Ben-Porat Kevin Leyton-Brown Moshe Tennenholtz 19 0 0 08 Jun 2020
Learning in Markov Decision Processes under Constraints Rahul Singh Abhishek Gupta Ness B. Shroff 25 27 0 27 Feb 2020
Constrained Upper Confidence Reinforcement Learning Liyuan Zheng Lillian J. Ratliff 20 66 0 26 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 30 506 0 23 Dec 2019
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 11 87 0 30 Oct 2019
Linear Stochastic Bandits Under Safety Constraints Sanae Amani M. Alizadeh Christos Thrampoulidis 14 117 0 16 Aug 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 6 5 0 02 Jul 2019
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models Erdem Biyik Jonathan Margoliash S. R. Alimo Dorsa Sadigh 11 15 0 01 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 17 605 0 21 Mar 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 28 85 0 26 Oct 2018
SOTER: A Runtime Assurance Framework for Programming Safe Robotics Systems Ankush Desai Shromona Ghosh S. Seshia N. Shankar A. Tiwari 17 12 0 23 Aug 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes Yanan Sui Vincent Zhuang J. W. Burdick Yisong Yue 15 139 0 20 Jun 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 27 137 0 18 Nov 2017
Safety-Aware Apprenticeship Learning Weichao Zhou Wenchao Li 23 34 0 22 Oct 2017
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics Tomoki Nishi Prashant Doshi Michael R. James Danil Prokhorov 22 5 0 04 Jun 2017
Probabilistically Safe Policy Transfer David Held Zoe McCarthy Michael Zhang Fred Shentu Pieter Abbeel 16 19 0 15 May 2017
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu M. Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 20 488 0 03 May 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 30 311 0 03 Feb 2017
Agent-Agnostic Human-in-the-Loop Reinforcement Learning David Abel J. Salvatier Andreas Stuhlmuller Owain Evans 19 60 0 15 Jan 2017
Safe Exploration of State and Action Spaces in Reinforcement Learning Javier García Fernando Fernández 38 161 0 04 Feb 2014