A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning

6 August 2021

Papers citing "A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning"

7 / 7 papers shown

Title
Effects of Robot Competency and Motion Legibility on Human Correction Feedback Shuangge Wang Anjiabei Wang Sofiya Goncharova Brian Scassellati Tesca Fitzgerald 28 1 0 08 Jan 2025
Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward Lingfeng Tao Jiucai Zhang Xiaoli Zhang 19 0 0 13 Sep 2023
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores Shukai Liu Chenming Wu Ying Li Liang Zhang 29 0 0 11 Jul 2023
Embodied Executable Policy Learning with Language-based Scene Summarization Jielin Qiu Mengdi Xu William Jongwon Han Seungwhan Moon Ding Zhao LM&Ro 24 7 0 09 Jun 2023
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping Deepak Vivekanandan Samuel Wirth Patrick Karlbauer Noah Klarmann 13 6 0 27 Feb 2023
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl OffRL 23 2 0 31 Jul 2022
Reward-Based Environment States for Robot Manipulation Policy Learning Cédérick Mouliets Isabelle Ferrané Heriberto Cuayáhuitl 19 0 0 10 Dec 2021