Unsupervised State Representation Learning in Atari

19 June 2019

Papers citing "Unsupervised State Representation Learning in Atari"

23 / 173 papers shown

Title
Extracting Latent State Representations with Linear Dynamics from Rich Observations Abraham Frandsen Rong Ge 6 2 0 29 Jun 2020
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control Rika Antonova Maksim Maydanskiy Danica Kragic Sam Devlin Katja Hofmann 8 8 0 15 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 25 108 0 12 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning Aditya Sanghi 3DPC SSL 11 101 0 04 Jun 2020
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 6 15 0 16 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 18 0 0 13 May 2020
Language (Re)modelling: Towards Embodied Language Understanding Ronen Tamari Chen Shani Tom Hope Miriam R. L. Petruck Omri Abend Dafna Shahaf 8 29 0 01 May 2020
The Ingredients of Real-World Robotic Reinforcement Learning Henry Zhu Justin Yu Abhishek Gupta Dhruv Shah Kristian Hartikainen Avi Singh Vikash Kumar Sergey Levine OffRL 63 171 0 27 Apr 2020
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL Alvaro Ovalle Simon Lucas 6 3 0 15 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 49 1,061 0 08 Apr 2020
Watching the World Go By: Representation Learning from Unlabeled Videos Daniel Gordon Kiana Ehsani Dieter Fox Ali Farhadi SSL AI4TS 29 87 0 18 Mar 2020
The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models Kiran Karra C. Ashcraft Neil Fendley 11 35 0 13 Mar 2020
On Compositions of Transformations in Contrastive Self-Supervised Learning Mandela Patrick Yuki M. Asano Polina Kuznetsova Ruth C. Fong João F. Henriques Geoffrey Zweig Andrea Vedaldi 23 49 0 09 Mar 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning William Agnew Pedro M. Domingos OffRL 31 3 0 03 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 34 24 0 02 Mar 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 9 76 0 27 Feb 2020
Learnt dynamics generalizes across tasks, datasets, and populations Usman Mahmood M. M. Rahman A. Fedorov Z. Fu Vince D. Calhoun Sergey Plis 17 4 0 04 Dec 2019
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 28 278 0 27 Nov 2019
Transfer Learning of fMRI Dynamics Usman Mahmood Md. Mahfuzur Rahman A. Fedorov Z. Fu Sergey Plis 16 9 0 16 Nov 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Video Representation Learning by Dense Predictive Coding Tengda Han Weidi Xie Andrew Zisserman SSL 16 359 0 10 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,984 0 20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016