Learning Robotic Manipulation Tasks via Task Progress based Gaussian Reward and Loss Adjusted Exploration

2 March 2021

Papers citing "Learning Robotic Manipulation Tasks via Task Progress based Gaussian Reward and Loss Adjusted Exploration"

7 / 7 papers shown

Title
PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing Yanjia Huang Renjie Li Zhengzhong Tu VGen 60 0 0 17 Mar 2025
Hierarchical Visual Policy Learning for Long-Horizon Robot Manipulation in Densely Cluttered Scenes Hecheng Wang Lizhe Qi Bin Fang Yunquan Sun 12 3 0 05 Dec 2023
Learning Multi-step Robotic Manipulation Policies from Visual Observation of Scene and Q-value Predictions of Previous Action Sulabh Kumra Shirin Joshi F. Sahin 8 3 0 23 Feb 2022
Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities Shivin Devgon Jeffrey Ichnowski Michael Danielczuk Daniel S. Brown Ashwin Balakrishna Shirin Joshi E. M. Rocha Eugen Solowjow Ken Goldberg 3DPC 24 8 0 13 Jul 2021
Deep Reinforcement Learning with a Stage Incentive Mechanism of Dense Reward for Robotic Trajectory Planning G. Peng Jin Yang Xinde Li M. O. Khyam 6 9 0 25 Sep 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata D. Fox 147 45 0 08 Mar 2020
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation D. Morrison Peter Corke Jurgen Leitner 110 135 0 03 Mar 2020