How to pick the domain randomization parameters for sim-to-real transfer
of reinforcement learning policies?

How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?

28 March 2019

Sharad Vikram

Henrik I. Christensen

Papers citing "How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?"

9 / 9 papers shown

Title
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 36 3 0 05 Sep 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 30 8 0 24 May 2024
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps Haoyi Niu Tianying Ji Bingqi Liu Haocheng Zhao Xiangyu Zhu Jianying Zheng Pengfei Huang Guyue Zhou Jianming Hu Xianyuan Zhan OffRL OnRL AI4CE 27 6 0 22 Sep 2023
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots Gabriele Tiboni Andrea Protopapa Tatiana Tommasi Giuseppe Averta 22 4 0 07 Mar 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 27 14 0 09 Feb 2023
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction Luobin Wang Runlin Guo Q. Vuong Yuzhe Qin Hao Su Henrik I. Christensen 3DH 3DPC 25 17 0 06 Oct 2022
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning Sunwoo Kim Maks Sorokin Jehee Lee Sehoon Ha 36 14 0 28 Apr 2022
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 52 1,928 0 11 Apr 2020
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019