Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

15 August 2020

Papers citing "Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings"

21 / 21 papers shown

Title
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 88 7 0 28 Jul 2024
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 34 5 0 26 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 27 4 0 03 Jul 2023
Safely Learning Dynamical Systems Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 28 3 0 20 May 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 27 2 0 21 Apr 2023
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation Aaron M. Roth Jing Liang Ram D. Sriram Elham Tabassi Tianyi Zhou 34 1 0 19 Sep 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 Jun 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation Rituraj Kaushik Karol Arndt Ville Kyrki 27 8 0 27 Jan 2022
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments Hengbo Ma Bike Zhang Masayoshi Tomizuka Koushil Sreenath 20 23 0 04 Jan 2022
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma Andrew Shen Osbert Bastani Dinesh Jayaraman 18 25 0 14 Dec 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention Yunkun Xu Zhen-yu Liu Guifang Duan Jiangcheng Zhu X. Bai Jianrong Tan 18 9 0 10 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 Oct 2021
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL Aarush Gupta 30 0 0 23 Oct 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
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
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
Lyapunov Barrier Policy Optimization Harshit S. Sikchi Wenxuan Zhou David Held 34 14 0 16 Mar 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 157 409 0 25 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 812 0 13 Nov 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 73 314 0 06 Jun 2015