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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
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 323 215 0 21 Oct 2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva 81 7 0 07 Oct 2021
On the Latent Holes of VAEs for Text Generation Ruizhe Li Xutan Peng Chenghua Lin 100 4 0 07 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 71 2 0 02 Oct 2021
Making Curiosity Explicit in Vision-based RL Elie Aljalbout Maximilian Ulmer Rudolph Triebel OffRL 56 2 0 28 Sep 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 208 11 0 12 Aug 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 321 5 0 13 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 106 16 0 12 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) Michael A. Hedderich Benjamin Roth Katharina Kann Barbara Plank Alex Ratner Dietrich Klakow 60 0 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 107 115 0 07 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation Yen-Chen Lin Andy Zeng Shuran Song Phillip Isola Nayeon Lee SSL 86 88 0 01 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 108 69 0 29 Jun 2021
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 83 29 0 15 Jun 2021
Learning of feature points without additional supervision improves reinforcement learning from images Rinu Boney Alexander Ilin Arno Solin SSL 36 3 0 15 Jun 2021
Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits A. Ghosh Abishek Sankararaman Kannan Ramchandran 104 4 0 15 Jun 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 81 6 0 09 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 111 38 0 08 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 74 27 0 04 Jun 2021
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning Matthias Muller-Brockhausen Mike Preuss Aske Plaat 66 9 0 31 May 2021
Fixed $β$ -VAE Encoding for Curious Exploration in Complex 3D Environments A. Lehuger Matthew Crosby DRL 28 2 0 18 May 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL K. Akuzawa Yusuke Iwasawa Y. Matsuo 60 4 0 14 May 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu Donglin Wang Qiangxing Tian Zhengyu Chen 92 23 0 11 Apr 2021
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning Siyang Yuan Pengyu Cheng Ruiyi Zhang Weituo Hao Zhe Gan Lawrence Carin DRL 66 61 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 40 17 0 15 Mar 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li Yilin Wu Huazhe Xu Xiaolong Wang Yi Wu 70 19 0 13 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 70 11 0 04 Mar 2021
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning I. Sledge Darshan W. Bryner José C. Príncipe 91 1 0 24 Feb 2021
Certifiably Robust Variational Autoencoders Ben Barrett A. Camuto M. Willetts Tom Rainforth AAML DRL 77 16 0 15 Feb 2021
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation Jinwei Xing Takashi Nagata Kexin Chen Xinyun Zou Emre Neftci J. Krichmar OOD 96 47 0 10 Feb 2021
DEFT: Distilling Entangled Factors by Preventing Information Diffusion Jiantao Wu Lin Wang Bo Yang Fanqi Li Chunxiuzi Liu Jin Zhou 32 2 0 08 Feb 2021
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients Chris Cundy Rishi Desai Stefano Ermon OffRL 127 4 0 30 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 310 267 0 09 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 75 42 0 29 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 56 12 0 20 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 92 144 0 19 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics Markus Wulfmeier Arunkumar Byravan Tim Hertweck I. Higgins Ankush Gupta ... Malcolm Reynolds Denis Teplyashin Roland Hafner Thomas Lampe Martin Riedmiller 93 16 0 03 Nov 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation Ruizhe Li Xiao Li Guanyi Chen Chenghua Lin DRL 58 17 0 02 Nov 2020
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation K. Shubham Gopalakrishnan Venkatesh Reijul Sachdev Akshi D. Jayagopi G. Srinivasaraghavan GAN 35 6 0 02 Nov 2020
Reinforcement Learning with Efficient Active Feature Acquisition Haiyan Yin Yingzhen Li Sinno Jialin Pan Cheng Zhang Sebastian Tschiatschek OffRL 50 14 0 02 Nov 2020
Fast Reinforcement Learning with Incremental Gaussian Mixture Models R. Pinto 19 1 0 02 Nov 2020
On the Transfer of Disentangled Representations in Realistic Settings Andrea Dittadi Frederik Trauble Francesco Locatello M. Wuthrich Vaibhav Agrawal Ole Winther Stefan Bauer Bernhard Schölkopf OOD 133 82 0 27 Oct 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 82 70 0 27 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 122 56 0 19 Oct 2020
Disentangling Action Sequences: Discovering Correlated Samples Jiantao Wu Lin Wang CML CoGe DRL 8 0 0 17 Oct 2020
Impact of Representation Learning in Linear Bandits Jiaqi Yang Wei Hu Jason D. Lee S. Du 97 53 0 13 Oct 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 223 743 0 24 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 118 602 0 16 Sep 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer H. Bassani R. A. Delgado J. N. D. O. L. Junior H. R. Medeiros Pedro H. M. Braga Mateus G. Machado L. H. C. Santos Alain Tapp 20 10 0 18 Aug 2020
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning A. Viitala Rinu Boney Yi Zhao Alexander Ilin Arno Solin OffRL 57 7 0 03 Aug 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 65 31 0 14 Jul 2020