A survey on policy search algorithms for learning robot controllers in a handful of trials

6 July 2018

Konstantinos Chatzilygeroudis

Papers citing "A survey on policy search algorithms for learning robot controllers in a handful of trials"

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Title
On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning M. Iannotta J. A. Stork Erik Schaffernicht Todor Stoyanov 43 0 0 08 Mar 2025
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 116 13 0 03 Jan 2025
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Paavo Parmas C. Rasmussen Jan Peters Kenji Doya 29 85 0 04 Feb 2019
Learning agile and dynamic motor skills for legged robots Jemin Hwangbo Joonho Lee Alexey Dosovitskiy Dario Bellicoso Vassilios Tsounis V. Koltun Marco Hutter 47 1,294 0 24 Jan 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks Stephen James Paul Wohlhart Mrinal Kalakrishnan Dmitry Kalashnikov A. Irpan Julian Ibarz Sergey Levine R. Hadsell Konstantinos Bousmalis 60 446 0 18 Dec 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 67 833 0 16 Nov 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 51 503 0 12 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 45 134 0 08 Oct 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 87 1,263 0 30 May 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Jie Tan Tingnan Zhang Erwin Coumans Atil Iscen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke 51 798 0 27 Apr 2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making Fangkai Yang Daoming Lyu Bo Liu Steven M. Gustafson OffRL 6 136 0 20 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 78 540 0 30 Mar 2018
World Models David R Ha Jürgen Schmidhuber SyDa 80 1,050 0 27 Mar 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 58 141 0 20 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 80 232 0 19 Mar 2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning J. A. G. Higuera David Meger Gregory Dudek BDL 24 39 0 06 Mar 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent D. Mankowitz Augustin Žídek André Barreto Dan Horgan Matteo Hessel John Quan Junhyuk Oh H. V. Hasselt David Silver Tom Schaul CLL OffRL 40 48 0 22 Feb 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher 45 115 0 20 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 70 319 0 12 Feb 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 52 52 0 10 Jan 2018
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 61 127 0 27 Nov 2017
Hindsight policy gradients Paulo E. Rauber Avinash Ummadisingu Filipe Wall Mutz J. Schmidhuber 42 68 0 16 Nov 2017
A survey of robot learning from demonstrations for Human-Robot Collaboration Jangwon Lee 43 165 0 24 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 76 1,355 0 18 Oct 2017
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World Tu-Hoa Pham Giovanni De Magistris Ryuki Tachibana OffRL 25 141 0 22 Sep 2017
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search Rémi Pautrat Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 39 44 0 20 Sep 2017
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 36 45 0 20 Sep 2017
Unsupervised state representation learning with robotic priors: a robustness benchmark Timothée Lesort Mathieu Seurin Xinrui Li Natalia Díaz Rodríguez David Filliat SSL DRL 71 32 0 15 Sep 2017
Deep Kernels for Optimizing Locomotion Controllers Rika Antonova Akshara Rai C. Atkeson 86 47 0 27 Jul 2017
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 178 931 0 07 Jul 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 189 275 0 07 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 205 2,307 0 05 Jul 2017
Expected Policy Gradients K. Ciosek Shimon Whiteson 40 57 0 15 Jun 2017
GP-ILQG: Data-driven Robust Optimal Control for Uncertain Nonlinear Dynamical Systems Gilwoo Lee S. Srinivasa M. T. Mason 13 27 0 15 May 2017
Black-Box Data-efficient Policy Search for Robotics Konstantinos Chatzilygeroudis R. Rama Rituraj Kaushik Dorian Goepp Vassilis Vassiliades Jean-Baptiste Mouret OffRL 37 114 0 21 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 731 11,793 0 09 Mar 2017
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization A. Marco Felix Berkenkamp Philipp Hennig Angela P. Schoellig Andreas Krause S. Schaal Sebastian Trimpe 35 126 0 03 Mar 2017
Adaptive and Resilient Soft Tensegrity Robots John Rieffel Jean-Baptiste Mouret 16 5 0 10 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 49 305 0 08 Feb 2017
Factored Contextual Policy Search with Bayesian Optimization Peter Karkus A. Kupcsik David Hsu Wee Sun Lee OffRL 31 10 0 06 Dec 2016
Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors Vaios Papaspyros Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 22 12 0 28 Nov 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 46 974 0 17 Nov 2016
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 267 814 0 13 Nov 2016
Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm Vassilis Vassiliades Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 26 155 0 18 Oct 2016
Sample Efficient Optimization for Learning Controllers for Bipedal Locomotion Rika Antonova Akshara Rai C. Atkeson 39 30 0 15 Oct 2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 28 102 0 13 Oct 2016
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 52 349 0 05 Oct 2016
Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States William H. Montgomery Anurag Ajay Chelsea Finn Pieter Abbeel Sergey Levine OnRL 49 37 0 04 Oct 2016
Micro-Data Learning: The Other End of the Spectrum Jean-Baptiste Mouret 29 19 0 04 Oct 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 37 1,516 0 16 Sep 2016