Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

2 July 2024

Papers citing "Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach"

6 / 6 papers shown

Title
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu Kuo Zhang Davide Tateo Snehal Jauhri Zhiyuan Hu Jan Peters Georgia Chalvatzaki 29 16 0 27 Sep 2022
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking Hanna Krasowski Jakob Thumm Marlon Müller Lukas Schäfer Xiao Wang Matthias Althoff 77 19 0 13 May 2022
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments Jakob Thumm Matthias Althoff 48 34 0 12 May 2022
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 32 11 0 29 Sep 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 69 94 0 22 Apr 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 131 184 0 08 May 2020