Guided Uncertainty-Aware Policy Optimization: Combining Learning and
Model-Based Strategies for Sample-Efficient Policy Learning

Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning

21 May 2020

Michelle A. Lee

Carlos Florensa

Jonathan Tremblay

Nathan D. Ratliff

Papers citing "Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning"

16 / 16 papers shown

Title
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty Michael Noseworthy Bingjie Tang Bowen Wen Ankur Handa Nicholas Roy Nicholas Roy Dieter Fox Yashraj S. Narang Iretiayo Akinola Iretiayo Akinola 59 8 0 08 Aug 2024
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments Jun Yamada J. Collins Ingmar Posner 36 8 0 06 Mar 2023
Flexible Gear Assembly With Visual Servoing and Force Feedback J. Ming Daniel Andreas Bargmann H. Cao Marco Caccamo 18 1 0 06 Mar 2023
A Learning-Based Estimation and Control Framework for Contact-Intensive Tight-Tolerance Tasks Bukun Son Hyelim Choi Jeamin Yoon Dongjun Lee 36 0 0 11 Oct 2022
CFVS: Coarse-to-Fine Visual Servoing for 6-DoF Object-Agnostic Peg-In-Hole Assembly B. Lu Tung-I Chen Hsin-Ying Lee Winston H. Hsu 35 10 0 19 Sep 2022
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data Oier Mees Lukás Hermann Wolfram Burgard LM&Ro 30 149 0 13 Apr 2022
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning Eugene Valassakis Georgios Papagiannis Norman Di Palo Edward Johns 29 40 0 06 Apr 2022
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives João Carvalho Dorothea Koert Marek Daniv Jan Peters 29 8 0 08 Mar 2022
RMPs for Safe Impedance Control in Contact-Rich Manipulation S. Shaw Ben Abbatematteo George Konidaris 26 13 0 24 Sep 2021
Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image Yunzhi Lin Jonathan Tremblay Stephen Tyree Patricio A. Vela Stan Birchfield 39 55 0 13 Sep 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 24 31 0 21 Jul 2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies Priya Sundaresan J. Grannen Brijen Thananjeyan Ashwin Balakrishna Jeffrey Ichnowski Ellen R. Novoseller M. Hwang Michael Laskey Joseph E. Gonzalez Ken Goldberg 11 25 0 29 Jun 2021
InsertionNet -- A Scalable Solution for Insertion Oren Spector Dotan Di Castro 32 51 0 29 Apr 2021
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks Yunlei Shi Zhaopeng Chen Yansong Wu Dimitri Henkel Sebastian Riedel Hongxu Liu Qian Feng Jianwei Zhang 16 12 0 10 Mar 2021
Joint Space Control via Deep Reinforcement Learning Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 25 15 0 12 Nov 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 34 13 0 05 Mar 2020