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

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

2 July 2024
Ammar N. Abbas
Shakra Mehak
Georgios C. Chasparis
John D. Kelleher
Michael Guilfoyle
M. Leva
Aswin K Ramasubramanian
ArXiv (abs)PDFHTMLGithub (43★)

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

6 / 6 papers shown
Title
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Jiaming Ji
Borong Zhang
Jiayi Zhou
Xuehai Pan
Weidong Huang
Ruiyang Sun
Yiran Geng
Yifan Zhong
Juntao Dai
Yaodong Yang
OffRL
116
73
0
19 Oct 2023
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in
  Human Environments
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
Jakob Thumm
Matthias Althoff
119
36
0
12 May 2022
Automating Reinforcement Learning with Example-based Resets
Automating Reinforcement Learning with Example-based Resets
Jigang Kim
Jaehyeon Park
Daesol Cho
H. J. Kim
CLLOnRL
89
14
0
05 Apr 2022
Safe Learning in Robotics: From Learning-Based Control to Safe
  Reinforcement Learning
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke
Melissa Greeff
Adam W. Hall
Zhaocong Yuan
Siqi Zhou
Jacopo Panerati
Angela P. Schoellig
OffRL
66
632
0
13 Aug 2021
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Nathan Hunt
Nathan Fulton
Sara Magliacane
Nghia Hoang
Subhro Das
Armando Solar-Lezama
OffRL
72
51
0
02 Jul 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous
  Distributional Quantile Critics
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov
Pavel Shvechikov
Alexander Grishin
Dmitry Vetrov
236
195
0
08 May 2020
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