Visual Reinforcement Learning with Imagined Goals

12 July 2018

Papers citing "Visual Reinforcement Learning with Imagined Goals"

47 / 347 papers shown

Title
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems Chris Reinke Mayalen Etcheverry Pierre-Yves Oudeyer 8 24 0 19 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 14 5 0 14 Aug 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 35 8 0 29 Jul 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 38 74 0 18 Jul 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning Srinivas Venkattaramanujam Eric Crawford T. Doan Doina Precup OffRL SSL 13 24 0 05 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 26 18 0 01 Jul 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 18 223 0 18 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards Gerrit Schoettler Ashvin Nair Jianlan Luo Shikhar Bahl J. A. Ojea Eugen Solowjow Sergey Levine OffRL 18 191 0 13 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 34 219 0 13 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 23 71 0 13 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric P. Xing Sergey Levine Ruslan Salakhutdinov 24 241 0 12 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 35 85 0 10 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 33 133 0 07 Jun 2019
An Extensible Interactive Interface for Agent Design Matthew Rahtz James Fang Anca Dragan Dylan Hadfield-Menell 13 1 0 06 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 15 227 0 31 May 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 6 78 0 29 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 23 80 0 21 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 18 24 0 20 May 2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning Brian Yang Jesse Zhang Vitchyr H. Pong Sergey Levine Dinesh Jayaraman 22 37 0 17 May 2019
Learning Robotic Manipulation through Visual Planning and Acting Angelina Wang Thanard Kurutach Kara Liu Pieter Abbeel Aviv Tamar 14 115 0 11 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design Zach Dwiel Madhavun Candadai Mariano Phielipp Arjun K. Bansal 18 15 0 04 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 29 123 0 03 May 2019
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning Quentin Debard J. Dibangoye S. Canu Christian Wolf 14 7 0 16 Apr 2019
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory Minju Jung Takazumi Matsumoto Jun Tani 9 20 0 12 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 33 269 0 08 Mar 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 33 391 0 05 Mar 2019
Discovering Options for Exploration by Minimizing Cover Time Yuu Jinnai Jee Won Park David Abel George Konidaris 19 52 0 02 Mar 2019
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control Jeremy Morton F. Witherden Mykel J Kochenderfer 13 45 0 26 Feb 2019
Sufficiently Accurate Model Learning Clark Zhang Arbaaz Khan Santiago Paternain Alejandro Ribeiro 25 3 0 19 Feb 2019
Unsupervised Visuomotor Control through Distributional Planning Networks Tianhe Yu Gleb Shevchuk Dorsa Sadigh Chelsea Finn SSL OffRL 18 42 0 14 Feb 2019
Preferences Implicit in the State of the World Rohin Shah Dmitrii Krasheninnikov Jordan Alexander Pieter Abbeel Anca Dragan 18 55 0 12 Feb 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs Himanshu Sahni Toby Buckley Pieter Abbeel Ilya Kuzovkin 29 10 0 31 Jan 2019
Towards Learning to Imitate from a Single Video Demonstration Glen Berseth Florian Golemo C. Pal 23 6 0 22 Jan 2019
Self-supervised Learning of Image Embedding for Continuous Control Carlos Florensa Jonas Degrave N. Heess Jost Tobias Springenberg Martin Riedmiller SSL 16 53 0 03 Jan 2019
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 21 5 0 24 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 16 149 0 17 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 30 292 0 06 Dec 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 13 1,445 0 29 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 41 172 0 28 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 26 109 0 19 Nov 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL T. Paine Sergio Gomez Colmenarejo Ziyun Wang Scott E. Reed Y. Aytar ... Matthew W. Hoffman Gabriel Barth-Maron Serkan Cabi David Budden Nando de Freitas OffRL 14 26 0 11 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
Time Reversal as Self-Supervision Suraj Nair Mohammad Babaeizadeh Chelsea Finn Sergey Levine Vikash Kumar SSL 17 12 0 02 Oct 2018
Catastrophic Importance of Catastrophic Forgetting Albert Ierusalem CLL AI4CE 9 2 0 20 Aug 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 26 68 0 12 Jul 2018
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning Sébastien Forestier Rémy Portelas Yoan Mollard Pierre-Yves Oudeyer 15 184 0 07 Aug 2017