SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies
Learned in Simulation

SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation

27 January 2022

Rituraj Kaushik

Ville Kyrki

Papers citing "SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation"

4 / 4 papers shown

Title
CURE: Simulation-Augmented Auto-Tuning in Robotics Md. Abir Hossen Sonam Kharade Jason M. O'Kane B. Schmerl David Garlan Pooyan Jamshidi 19 1 0 08 Feb 2024
Quality-Diversity Optimization: a novel branch of stochastic optimization Konstantinos Chatzilygeroudis Antoine Cully Vassilis Vassiliades Jean-Baptiste Mouret 61 91 0 08 Dec 2020
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 104 103 0 16 Sep 2019
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 118 919 0 07 Jul 2017