Black-Box Data-efficient Policy Search for Robotics

21 March 2017

Konstantinos Chatzilygeroudis

Papers citing "Black-Box Data-efficient Policy Search for Robotics"

27 / 27 papers shown

Title
On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics Giulio Turrisi Marco Capotondi C. Gaz Valerio Modugno Giuseppe Oriolo Alessandro De Luca 43 8 0 30 Jan 2025
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search Onur Berk Töre Farzin Negahbani Barış Akgün 16 1 0 19 Jan 2023
FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization Hardik Parwana Dimitra Panagou 28 2 0 26 Sep 2022
Learning Skill-based Industrial Robot Tasks with User Priors Matthias Mayr Carl Hvarfner Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 43 21 0 02 Aug 2022
Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control Maximilian Hüttenrauch Gerhard Neumann 32 1 0 24 May 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 35 28 0 18 Mar 2022
Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning Chenxiao Yu A. Rosendo 34 15 0 24 Feb 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation Rituraj Kaushik Karol Arndt Ville Kyrki 32 8 0 27 Jan 2022
Learning of Parameters in Behavior Trees for Movement Skills Matthias Mayr Konstantinos Chatzilygeroudis Faseeh Ahmad Luigi Nardi Volker Krueger OffRL 21 20 0 27 Sep 2021
SafePILCO: a software tool for safe and data-efficient policy synthesis Kyriakos Polymenakos Nikitas Rontsis Alessandro Abate Stephen J. Roberts 32 6 0 07 Aug 2020
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations Jingyi Huang Yizheng Zhang F. Giardina A. Rosendo OffRL 22 1 0 21 Jul 2020
Identifying Mechanical Models through Differentiable Simulations Changkyu Song Abdeslam Boularias 27 12 0 11 May 2020
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution T. Nygaard Charles Patrick Martin David Howard J. Tørresen K. Glette AI4CE 28 24 0 30 Mar 2020
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
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 35 4 0 29 Dec 2019
Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics Rituraj Kaushik P. Desreumaux Jean-Baptiste Mouret OffRL 27 34 0 16 Jul 2019
Proximal Reliability Optimization for Reinforcement Learning Narendra Patwardhan Zequn Wang 18 0 0 03 Jun 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 22 53 0 28 Apr 2019
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Paavo Parmas C. Rasmussen Jan Peters Kenji Doya 13 85 0 04 Feb 2019
Evolving embodied intelligence from materials to machines David Howard A. E. Eiben D. F. Kennedy Jean-Baptiste Mouret P. Valencia Dave Winkler AI4CE 27 107 0 17 Jan 2019
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization Miao Zhang Huiqi Li Juan Lyu S. Ling Steven W. Su AI4CE 22 11 0 02 Jan 2019
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 31 19 0 25 Jun 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning J. A. G. Higuera David Meger Gregory Dudek BDL 22 39 0 06 Mar 2018
Reset-free Trial-and-Error Learning for Robot Damage Recovery Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 13 102 0 13 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015