Data-Efficient Learning of Feedback Policies from Image Pixels using
Deep Dynamical Models

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Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models

8 October 2015

Niklas Wahlström

Thomas B. Schon

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Papers citing "Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models"

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Title
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison Jan C. Schulze Alexander Mitsos 9 0 0 15 Jun 2025
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data N. Botteghi Mengwu Guo C. Brune 103 11 0 27 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 95 13 0 27 Aug 2022
Back to the Manifold: Recovering from Out-of-Distribution States Alfredo Reichlin Giovanni Luca Marchetti Hang Yin Ali Ghadirzadeh Danica Kragic OffRL 67 12 0 18 Jul 2022
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 70 6 0 28 Sep 2021
State Representation Learning from Demonstration Astrid Merckling Michael Pearce Loic Cressot Stéphane Doncieux Matthias Poloczek OffRL 63 8 0 15 Sep 2019
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 89 110 0 19 Nov 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 90 42 0 28 Aug 2018
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 103 155 0 06 Jul 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 112 321 0 12 Feb 2018
Design of Deep Neural Networks as Add-on Blocks for Improving Impromptu Trajectory Tracking Siqi Zhou M. Helwa Angela P. Schoellig 91 35 0 31 May 2017
Generative Temporal Models with Memory Mevlana Gemici Chia-Chun Hung Adam Santoro Greg Wayne S. Mohamed Danilo Jimenez Rezende David Amos Timothy Lillicrap 65 57 0 15 Feb 2017
Learning to Learn without Gradient Descent by Gradient Descent Yutian Chen Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Timothy Lillicrap Matt Botvinick Nando de Freitas 83 42 0 11 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil Pulkit Agrawal Tejas D. Kulkarni Tom Erez Peter W. Battaglia Nando de Freitas AI4CE 104 333 0 06 Nov 2016
Multi-Objective Deep Reinforcement Learning Hossam Mossalam Yannis Assael D. Roijers Shimon Whiteson 83 154 0 09 Oct 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 105 226 0 18 Sep 2016
Interactive Perception: Leveraging Action in Perception and Perception in Action Jeannette Bohg Karol Hausman Bharathwaj Sankaran Oliver Brock Danica Kragic S. Schaal Gaurav Sukhatme 163 306 0 13 Apr 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 80 147 0 08 Feb 2016