Unsupervised State Representation Learning in Atari

19 June 2019

Papers citing "Unsupervised State Representation Learning in Atari"

50 / 173 papers shown

Title
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 23 8 0 11 Oct 2021
Object-aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo H. Kang Kihyuk Sohn Chun-Liang Li Jinwoo Shin SSL OCL 30 48 0 30 Jul 2021
Learning more skills through optimistic exploration D. Strouse Kate Baumli David Warde-Farley Vlad Mnih Steven Hansen SSL 13 45 0 29 Jul 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 13 15 0 19 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 41 16 0 12 Jul 2021
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ? Prasanna Parthasarathi J. Pineau Sarath Chandar 11 2 0 20 Jun 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 26 38 0 14 Jun 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 23 6 0 09 Jun 2021
Self-supervision of Feature Transformation for Further Improving Supervised Learning Zilin Ding Yuhang Yang Xuan Cheng Xiaomin Wang Ming-Yu Liu SSL 11 2 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 47 114 0 09 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 29 35 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks Ananye Agarwal P. Shenoy Mausam 17 5 0 06 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 19 8 0 06 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 27 27 0 04 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 18 3 0 01 Jun 2021
Fixed $β$ -VAE Encoding for Curious Exploration in Complex 3D Environments A. Lehuger Matthew Crosby DRL 19 2 0 18 May 2021
Curious Representation Learning for Embodied Intelligence Yilun Du Chuang Gan Phillip Isola SSL LM&Ro 115 40 0 03 May 2021
Unsupervised Layered Image Decomposition into Object Prototypes Tom Monnier Elliot Vincent Jean Ponce Mathieu Aubry OCL 16 53 0 29 Apr 2021
An Efficient Method for the Classification of Croplands in Scarce-Label Regions H. Ghaffari 6 1 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 17 17 0 15 Mar 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 21 59 0 14 Mar 2021
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters Trevor A. McInroe Michael Spurrier J. Sieber Stephen Conneely 11 0 0 11 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 41 195 0 08 Mar 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 11 47 0 22 Feb 2021
Learning State Representations from Random Deep Action-conditional Predictions Zeyu Zheng Vivek Veeriah Risto Vuorio Richard L. Lewis Satinder Singh 15 5 0 09 Feb 2021
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease A. Fedorov Tristan Sylvain Eloy P. T. Geenjaar Margaux Luck Lei Wu T. DeRamus Alex Kirilin Dmitry Bleklov Vince D. Calhoun Sergey Plis SSL 23 13 0 25 Dec 2020
On self-supervised multi-modal representation learning: An application to Alzheimer's disease A. Fedorov Lei Wu Tristan Sylvain Margaux Luck T. DeRamus Dmitry Bleklov Sergey Plis Vince D. Calhoun SSL 6 16 0 25 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 4 41 0 04 Dec 2020
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation S. Honari Victor Constantin Helge Rhodin Mathieu Salzmann Pascal Fua 3DH 34 10 0 02 Dec 2020
XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic 8 19 0 25 Oct 2020
Cross-Modal Information Maximization for Medical Imaging: CMIM Tristan Sylvain Francis Dutil T. Berthier Lisa Di-Jorio Margaux Luck Devon Hjelm Yoshua Bengio 17 6 0 20 Oct 2020
Function Contrastive Learning of Transferable Meta-Representations Muhammad Waleed Gondal S. Joshi Nasim Rahaman Stefan Bauer Manuel Wüthrich Bernhard Schölkopf SSL 10 19 0 14 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 178 685 0 10 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 25 0 05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 17 9 0 03 Oct 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Cheng Chen Xidong Feng Dong Li Wulong Liu OffRL 32 51 0 29 Sep 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
Naive Artificial Intelligence T. Barak Yehonatan Avidan Y. Loewenstein 16 0 0 04 Sep 2020
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics Prasanna Parthasarathi Joelle Pineau Sarath Chandar 12 6 0 24 Aug 2020
Action-Based Representation Learning for Autonomous Driving Yi Xiao Felipe Codevilla C. Pal Antonio M. López 17 10 0 21 Aug 2020
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations Usman Mahmood Md. Mahfuzur Rahman A. Fedorov N. Lewis Z. Fu Vince D. Calhoun Sergey Plis 17 22 0 29 Jul 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 26 28 0 27 Jul 2020
Transferred Discrepancy: Quantifying the Difference Between Representations Yunzhen Feng Runtian Zhai Di He Liwei Wang Bin Dong DRL 9 11 0 24 Jul 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 15 72 0 24 Jul 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects Evan Racah Sarath Chandar OCL DRL 21 14 0 18 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 35 308 0 12 Jul 2020
Attention or memory? Neurointerpretable agents in space and time Lennart Bramlage A. Cortese 8 1 0 09 Jul 2020
Auxiliary Tasks Speed Up Learning PointGoal Navigation Joel Ye Dhruv Batra Erik Wijmans Abhishek Das 3DPC EgoV 17 79 0 09 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 25 47 0 30 Jun 2020