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ObjectGoal Navigation (ObjectNav) is an embodied task wherein agents are to navigate to an object instance in an unseen environment.
Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks
David Sussillo and Omri Barak · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba · 2015
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Sun rgb-d: A rgb-d scene understanding benchmark suite
Shuran Song, Samuel P Lichtenberg, and Jianxiong Xiao · 2015
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A neural network that finds a naturalistic solution for the production of muscle activity
David Sussillo, Mark M Churchland, Matthew T Kaufman, and Krishna V Shenoy · 2015
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Learning to navigate in complex environments
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, and Raia Hadsell · 2016
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High-dimensional continuous control using generalized advantage estimation
John Schulman, Philipp Moritz, Sergey Levine, Michael Jordan, and Pieter Abbeel · 2016
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Curiosity-driven exploration by self-supervised prediction
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, and Trevor Darrell · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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On evaluation of embodied navigation agents
Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, and Amir Roshan Zamir · 2018
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Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures
Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Volodymir Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, and Koray Kavukcuoglu · 2018
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Fixedpointfinder: A tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
Matthew D. Golub and David Sussillo · 2018
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Neural predictive belief representations
Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo A Pires, Toby Pohlen, and Rémi Munos · 2018
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Rednet: Residual encoder-decoder network for indoor rgb-d semantic segmentation, 2018
Jindong Jiang, Lunan Zheng, Fei Luo, and Zhijun Zhang · 2018
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Learning by playing - solving sparse reward tasks from scratch, 2018
Martin Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Volodymyr Mnih, Nicolas Heess, and Jost Tobias Springenberg · 2018
Cited alongside, same era.
Alexander Sax, Bradley Emi, Amir R Zamir, Leonidas Guibas, Silvio Savarese, and Jitendra Malik · 2018
Cited alongside, same era.
Perceptual straightening of natural videos
Olivier J Hénaff, Robbe LT Goris, and Eero P Simoncelli · 2019
Probing emergent semantics in predictive agents via question answering
Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, and Felix Hill · 2020
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Recurrent independent mechanisms, 2020
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, and Bernhard Schölkopf · 2020
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Bootstrap latent-predictive representations for multitask reinforcement learning, 2020
Daniel Guo, Bernardo Avila Pires, Bilal Piot, Jean bastien Grill, Florent Altché, Rémi Munos, and Mohammad Gheshlaghi Azar · 2020
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Environmental drivers of systematicity and generalization in a situated agent
Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, and Adam Santoro · 2020
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Sscnav: Confidence-aware semantic scene completion for visual semantic navigation, 2020
Yiqing Liang, Boyuan Chen, and Shuran Song · 2020
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Cited alongside, same era.
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics, 2019
Niru Maheswaranathan, Alex Williams, Matthew D. Golub, Surya Ganguli, and David Sussillo · 2019
Cited alongside, same era.
Visual representations for semantic target driven navigation
A. Mousavian, A.toshev, M. Fiser, J. Kosecka, A. Wahid, and J. Davidson · 2019
Cited alongside, same era.
Habitat: A platform for embodied AI research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, et al · 2019
Cited alongside, same era.
The geometry of integration in text classification rnns, 2020
Kyle Aitken, Vinay V. Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, and Niru Maheswaranathan · 2020
Cited alongside, same era.
Semantic mapnet: Building allocentric semanticmaps and representations from egocentric views, 2020
Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, and Dhruv Batra · 2020
Cited alongside, same era.
Object goal navigation using goal-oriented semantic exploration
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, and Ruslan Salakhutdinov · 2020
Cited alongside, same era.
Learning to explore using active neural mapping
Devendra Singh Chaplot, Saurabh Gupta, Dhiraj Gandhi, Abhinav Gupta, and Ruslan Salakhutdinov · 2020
Cited alongside, same era.
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan and David Sussillo · 2020
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An exploration of embodied visual exploration, 2020
Santhosh K. Ramakrishnan, Dinesh Jayaraman, and Kristen Grauman · 2020
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Habitat challenge, 2020
Habitat Team · 2020
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Unsupervised temporal consistency metric for video segmentation in highly-automated driving
Serin Varghese, Yasin Bayzidi, Andreas Bar, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M Schmidt, Peter Schlicht, Fabian Huger, and Tim Fingscheidt · 2020
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How to train pointgoal navigation agents on a (sample and compute) budget, 2020
Erik Wijmans, Irfan Essa, and Dhruv Batra · 2020
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DD-PPO: Learning near-perfect pointgoal navigators from 2.5 billion frames
Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, and Dhruv Batra · 2020
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Auxiliary tasks speed up learning pointgoal navigation
Joel Ye, Dhruv Batra, Erik Wijmans, and Abhishek Das · 2020
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Learning generalizable visual representations via interactive gameplay
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, and Ali Farhadi · 2021
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