Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a
Survey

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

24 September 2020

Jorge Peña Queralta

Tomi Westerlund

Papers citing "Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey"

9 / 109 papers shown

Title
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei-ping Xu Haichao Zhang OffRL 69 31 0 28 Jan 2022
Curriculum Learning for Safe Mapless Navigation Luca Marzari Davide Corsi Enrico Marchesini Alessandro Farinelli 22 14 0 23 Dec 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments Petros Giannakopoulos Aggelos Pikrakis Y. Cotronis 11 3 0 25 Oct 2021
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad) J. Collins Ross Brown Jurgen Leitner David Howard AI4CE 32 4 0 10 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 38 54 0 31 Aug 2021
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments B. Svetozarevic C. Baumann S. Muntwiler L. Di Natale M. Zeilinger Philipp Heer AI4CE 14 34 0 02 Mar 2021
Deep Visual Domain Adaptation G. Csurka OOD 141 185 0 28 Dec 2020
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 108 104 0 16 Sep 2019