DARLA: Improving Zero-Shot Transfer in Reinforcement Learning

26 July 2017

Christopher P. Burgess

Alexander Pritzel

Papers citing "DARLA: Improving Zero-Shot Transfer in Reinforcement Learning"

47 / 247 papers shown

Title
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 13 499 0 01 Mar 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 9 16 0 25 Feb 2019
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping Punarjay Chakravarty P. Narayanan Tom Roussel 3DGS MDE 30 26 0 06 Feb 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 8 19 0 27 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 31 16 0 31 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 16 149 0 17 Dec 2018
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 22 471 0 05 Dec 2018
Transferring Knowledge across Learning Processes Sebastian Flennerhag Pablo G. Moreno Neil D. Lawrence Andreas C. Damianou 21 64 0 03 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,234 0 30 Nov 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 11 1,445 0 29 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 24 109 0 19 Nov 2018
Neural Predictive Belief Representations Z. Guo M. G. Azar Bilal Piot Bernardo Avila-Pires Rémi Munos SSL 19 80 0 15 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt OOD DRL 6 68 0 12 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 13 3 0 11 Nov 2018
Visual Semantic Navigation using Scene Priors Wei Yang Xinyu Wang Ali Farhadi Abhinav Gupta Roozbeh Mottaghi LM&Ro 33 320 0 15 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 24 40 0 11 Oct 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat BDL CLL 16 19 0 09 Oct 2018
The Dreaming Variational Autoencoder for Reinforcement Learning Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo DRL 22 17 0 02 Oct 2018
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation Timo Korthals Jurgen Leitner U. Rückert DRL 17 3 0 12 Sep 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 30 89 0 12 Sep 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 20 12 0 07 Sep 2018
Discovering Influential Factors in Variational Autoencoder Shiqi Liu Jingxin Liu Qian Zhao Xiangyong Cao Huibin Li Hongying Meng Sheng Liu Deyu Meng DRL CML 8 1 0 06 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 25 914 0 04 Sep 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 20 41 0 28 Aug 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies Alessandro Achille Tom Eccles Loic Matthey Christopher P. Burgess Nicholas Watters Alexander Lerchner I. Higgins BDL 21 119 0 20 Aug 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 23 153 0 22 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 20 535 0 12 Jul 2018
Zero-shot Domain Adaptation without Domain Semantic Descriptors Atsutoshi Kumagai Tomoharu Iwata VLM 31 13 0 09 Jul 2018
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection Tadanobu Inoue Subhajit Chaudhury Giovanni De Magistris Sakyasingha Dasgupta 11 38 0 04 Jul 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation Shani Gamrian Yoav Goldberg 27 105 0 31 May 2018
Dual Swap Disentangling Zunlei Feng Xinchao Wang Chenglong Ke Anxiang Zeng Dacheng Tao Xiuming Zhang 11 44 0 27 May 2018
Deep Reinforcement Learning For Sequence to Sequence Models Yaser Keneshloo Tian Shi Naren Ramakrishnan Chandan K. Reddy AIMat 3DV OffRL 30 208 0 24 May 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 31 28 0 25 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 15 177 0 10 Apr 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 11 822 0 10 Apr 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 25 145 0 02 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 28 241 0 31 Mar 2018
Visual Robot Task Planning Chris Paxton Yotam Barnoy Kapil D. Katyal R. Arora Gregory Hager 14 52 0 30 Mar 2018
World Models David R Ha Jürgen Schmidhuber SyDa 10 1,027 0 27 Mar 2018
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour 15 1 0 13 Mar 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 35 98 0 19 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 17 319 0 12 Feb 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 62 338 0 07 Jan 2018
Learning to Imagine Manipulation Goals for Robot Task Planning Chris Paxton Kapil D. Katyal Christian Rupprecht R. Arora Gregory Hager SSL 23 1 0 08 Nov 2017
Transfer learning from synthetic to real images using variational autoencoders for robotic applications Tadanobu Inoue Subhajit Chaudhury Giovanni De Magistris Sakyasingha Dasgupta 18 19 0 20 Sep 2017
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 21 51 0 11 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 162 275 0 07 Jul 2017