Safe Exploration of State and Action Spaces in Reinforcement Learning

4 February 2014

Papers citing "Safe Exploration of State and Action Spaces in Reinforcement Learning"

28 / 28 papers shown

Title
Cyber Physical Games Warisa Sritriratanarak Paulo Garcia AI4CE 20 0 0 08 Jul 2024
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking F. Lotfi K. Virji Nicholas Dudek Gregory Dudek 27 0 0 29 Jan 2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Simon Guist Jan Schneider Hao Ma Tianyu Cui V. Berenz ... Felix Gruninger M. Muhlebach J. Fiene Bernhard Schölkopf Le Chen 45 4 0 05 Jul 2023
Constrained Exploration in Reinforcement Learning with Optimality Preservation Peter C. Y. Chen 11 0 0 05 Apr 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
A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint G. Fontanesi Anding Zhu M. Arvaneh Hamed Ahmadi 19 16 0 07 Nov 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 25 3 0 07 Oct 2022
Robust AI Driving Strategy for Autonomous Vehicles S. Nageshrao Yousaf Rahman V. Ivanovic M. Janković E. Tseng M. Hafner Dimitar Filev 39 4 0 16 Jul 2022
Learning to Rearrange with Physics-Inspired Risk Awareness Meng Song Yuhan Liu Zhengqin Li Manmohan Chandraker 26 0 0 26 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 324 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
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf 29 1 0 10 Dec 2021
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control Yuheng Wang Margaret P. Chapman 38 33 0 18 Sep 2021
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes Honghao Wei Xin Liu Lei Ying 19 21 0 03 Jun 2021
Understanding and Avoiding AI Failures: A Practical Guide R. M. Williams Roman V. Yampolskiy 27 23 0 22 Apr 2021
Safety Verification of Model Based Reinforcement Learning Controllers Akshita Gupta Inseok Hwang 37 5 0 21 Oct 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems Yashwanth Kumar Nakka Anqi Liu Guanya Shi Anima Anandkumar Yisong Yue Soon-Jo Chung 30 49 0 09 May 2020
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization Lu Wen Jingliang Duan Shengbo Eben Li Shaobing Xu H. Peng 22 68 0 03 Mar 2020
Learning in Markov Decision Processes under Constraints Rahul Singh Abhishek Gupta Ness B. Shroff 41 27 0 27 Feb 2020
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 15 10 0 11 Nov 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kaipeng Zhang Bin Hu Tamer Basar 24 119 0 21 Oct 2019
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models Erdem Biyik Jonathan Margoliash S. R. Alimo Dorsa Sadigh 13 15 0 01 Apr 2019
Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization Jens Lundell R. Krug Erik Schaffernicht Todor Stoyanov Ville Kyrki 11 3 0 08 Oct 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes Yanan Sui Vincent Zhuang J. W. Burdick Yisong Yue 27 139 0 20 Jun 2018
Agent-Agnostic Human-in-the-Loop Reinforcement Learning David Abel J. Salvatier Andreas Stuhlmuller Owain Evans 19 60 0 15 Jan 2017
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012