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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"

50 / 252 papers shown

Title
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 94 176 0 07 Jul 2020
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems Mayalen Etcheverry Clément Moulin-Frier Pierre-Yves Oudeyer 64 24 0 02 Jul 2020
Extracting Latent State Representations with Linear Dynamics from Rich Observations Abraham Frandsen Rong Ge 28 2 0 29 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 106 94 0 24 Jun 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 86 117 0 14 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure Sungho Choi Seungyul Han Woojun Kim Y. Sung 55 2 0 02 Jun 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 134 1,093 0 08 Apr 2020
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics Xusen Yin Jonathan May 122 3 0 06 Apr 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 125 113 0 18 Mar 2020
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control François-Xavier Devailly Denis Larocque Laurent Charlin AI4CE 126 70 0 06 Mar 2020
Provably Efficient Third-Person Imitation from Offline Observation Aaron Zweig Joan Bruna OffRL 27 2 0 27 Feb 2020
Representation Learning Through Latent Canonicalizations Or Litany Ari S. Morcos Srinath Sridhar Leonidas Guibas Judy Hoffman SSL OOD DRL 29 2 0 26 Feb 2020
Symbolic Network: Generalized Neural Policies for Relational MDPs Sankalp Garg Aniket Bajpai Mausam 28 5 0 18 Feb 2020
Learning Group Structure and Disentangled Representations of Dynamical Environments Robin Quessard Thomas D. Barrett W. Clements DRL 56 21 0 17 Feb 2020
Learning State Abstractions for Transfer in Continuous Control Kavosh Asadi David Abel Michael L. Littman OffRL 63 7 0 08 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 254 321 0 07 Feb 2020
Product Kanerva Machines: Factorized Bayesian Memory Adam H. Marblestone Yongpeng Wu Greg Wayne 62 9 0 06 Feb 2020
Toward a Controllable Disentanglement Network Zengjie Song Oluwasanmi Koyejo Jiangshe Zhang DRL 36 3 0 22 Jan 2020
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks Sahika Genc S. Mallya S. Bodapati Tao Sun Yunzhe Tao 38 6 0 02 Jan 2020
Learning to Navigate Using Mid-Level Visual Priors Alexander Sax Jeffrey O. Zhang Bradley Emi Amir Zamir Silvio Savarese Leonidas Guibas Jitendra Malik SSL 85 59 0 23 Dec 2019
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning Rui Silva Miguel Vasco Francisco S. Melo Ana Paiva Manuela Veloso OffRL 41 14 0 28 Nov 2019
Towards Better Understanding of Disentangled Representations via Mutual Information Xiaojiang Yang Wendong Bi Yitong Sun Yu Cheng Junchi Yan CML CoGe DRL 18 1 0 25 Nov 2019
Disentangled Cumulants Help Successor Representations Transfer to New Tasks Christopher Grimm I. Higgins André Barreto Denis Teplyashin Markus Wulfmeier Tim Hertweck R. Hadsell Satinder Singh 69 14 0 25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 126 10 0 24 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 75 57 0 05 Nov 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation Huazhe Xu Boyuan Chen Yang Gao Trevor Darrell OffRL 30 2 0 17 Oct 2019
How a minimal learning agent can infer the existence of unobserved variables in a complex environment K. Ried B. Eva Thomas Müller Hans J. Briegel 70 15 0 15 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 137 449 0 02 Oct 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 69 112 0 06 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 78 53 0 25 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 50 6 0 14 Aug 2019
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach Zhenyu Wu Karthik Suresh Priya Narayanan Hongyu Xu H. Kwon Zhangyang Wang AAML 83 79 0 11 Aug 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier Matthieu Geist Olivier Pietquin OffRL 86 6 0 18 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 144 18 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 93 382 0 01 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 48 6 0 26 Jun 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 126 119 0 21 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 147 255 0 19 Jun 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs Zinan Lin K. K. Thekumparampil Giulia Fanti Sewoong Oh DRL 110 37 0 14 Jun 2019
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer 100 2 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 125 139 0 07 Jun 2019
Improving VAEs' Robustness to Adversarial Attack M. Willetts A. Camuto Tom Rainforth Stephen J. Roberts Chris Holmes DRL AAML 66 5 0 01 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 81 227 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 94 80 0 29 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 106 210 0 29 May 2019
Learning Portable Representations for High-Level Planning Steven D. James Benjamin Rosman George Konidaris SSL 63 40 0 28 May 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 47 1 0 27 May 2019
An Explicitly Relational Neural Network Architecture Murray Shanahan Kyriacos Nikiforou Antonia Creswell Christos Kaplanis David Barrett M. Garnelo NAI 3DV GAN 78 69 0 24 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design Zach Dwiel Madhavun Candadai Mariano Phielipp Arjun K. Bansal 79 15 0 04 May 2019