Context-Aware Safe Reinforcement Learning for Non-Stationary
Environments

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments

2 January 2021

Ding Zhao

Papers citing "Context-Aware Safe Reinforcement Learning for Non-Stationary Environments"

8 / 8 papers shown

Title
ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation Zhongquan Zhou Shuhao Li Zixian Yue 28 0 0 10 May 2025
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 34 0 0 21 Sep 2023
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents Sungwoo Lee Younghyun Oh Hyunhoe An Hyebhin Yoon K. Friston Seok Jun Hong Choong-Wan Woo AI4CE 26 1 0 12 Sep 2023
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 42 35 0 29 May 2022
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles Xinglong Zhang Yaoqian Peng Biao Luo Wei Pan Xin Xu Haibin Xie 21 11 0 18 Dec 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017