Safe and Robust Reinforcement Learning: Principles and Practice

27 March 2024

Papers citing "Safe and Robust Reinforcement Learning: Principles and Practice"

7 / 7 papers shown

Title
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 151 70 0 08 Sep 2022
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 111 231 0 20 May 2022
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization Quanyi Li Zhenghao Peng Bolei Zhou 75 35 0 17 Feb 2022
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 91 49 0 06 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 216 808 0 13 Nov 2016
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 70 308 0 22 May 2012