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Adaptive Prior Selection for Repertoire-based Online Adaptation in
  Robotics

Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics

16 July 2019
Rituraj Kaushik
P. Desreumaux
Jean-Baptiste Mouret
    OffRL
ArXivPDFHTML

Papers citing "Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics"

10 / 10 papers shown
Title
Online Damage Recovery for Physical Robots with Hierarchical
  Quality-Diversity
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Bryan Lim
Antoine Cully
27
13
0
18 Oct 2022
Efficient Learning of Locomotion Skills through the Discovery of Diverse
  Environmental Trajectory Generator Priors
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana
Bryan Lim
Antoine Cully
38
3
0
10 Oct 2022
Hierarchical Quality-Diversity for Online Damage Recovery
Hierarchical Quality-Diversity for Online Damage Recovery
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Antoine Cully
25
12
0
12 Apr 2022
Accelerated Quality-Diversity through Massive Parallelism
Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim
Maxime Allard
Luca Grillotti
Antoine Cully
40
16
0
02 Feb 2022
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
Rituraj Kaushik
Karol Arndt
Ville Kyrki
27
8
0
27 Jan 2022
Finding Game Levels with the Right Difficulty in a Few Trials through
  Intelligent Trial-and-Error
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error
Miguel González Duque
Rasmus Berg Palm
David R Ha
S. Risi
36
32
0
15 May 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
33
43
0
21 Apr 2020
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of
  Simulated Priors
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors
Rituraj Kaushik
Timothée Anne
Jean-Baptiste Mouret
32
52
0
10 Mar 2020
Emergence of Locomotion Behaviours in Rich Environments
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
143
928
0
07 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
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