Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation

6 March 2019

Papers citing "Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation"

6 / 6 papers shown

Title
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
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
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking Lenz Belzner M. Wirsing 22 4 0 08 May 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 29 169 0 20 Feb 2020
Rarely-switching linear bandits: optimization of causal effects for the real world B. Lansdell Sofia Triantafillou Konrad Paul Kording 22 4 0 30 May 2019
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012