Deep Reinforcement Learning for Robotic Manipulation-The state of the art

31 January 2017

Papers citing "Deep Reinforcement Learning for Robotic Manipulation-The state of the art"

10 / 10 papers shown

Title
HEPPO: Hardware-Efficient Proximal Policy Optimization -- A Universal Pipelined Architecture for Generalized Advantage Estimation Hazem Taha Ameer M. S. Abdelhadi 66 1 0 22 Jan 2025
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning L. Du Min Chen Mingyang Sun Shouling Ji Peng Cheng Jiming Chen Zhikun Zhang OffRL 101 9 0 06 Sep 2023
State-based Episodic Memory for Multi-Agent Reinforcement Learning Xiao Ma Wu-Jun Li 43 8 0 19 Oct 2021
Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration Andrei Haidu Michael Beetz 37 10 0 27 Nov 2020
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss William Prew T. Breckon M. Bordewich Ulrik R Beierholm 40 7 0 05 Nov 2020
Reconstructing Actions To Explain Deep Reinforcement Learning Xuan Chen Zifan Wang Yucai Fan Bonan Jin Piotr (Peter) Mardziel Carlee Joe-Wong Anupam Datta FAtt 43 2 0 17 Sep 2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning Sha Luo Hamidreza Kasaei Lambert Schomaker CLL 89 46 0 07 Feb 2020
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation Changfu Li Chenrui Jin Ratnesh K. Sharma 39 44 0 14 Oct 2019
Adaptive Power System Emergency Control using Deep Reinforcement Learning Qiuhua Huang Renke Huang Weituo Hao Jie Tan Rui Fan Zhenyu Huang 111 279 0 09 Mar 2019
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 61 87 0 19 May 2018