COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

22 May 2019

Nicholas Watters

Loic Matthey

Matko Bosnjak

Christopher P. Burgess

Alexander Lerchner

OffRL

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Papers citing "COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration"

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Title
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Caleb Chuck Fan Feng Carl Qi Chang Shi Siddhant Agarwal Amy Zhang S. Niekum 47 0 0 06 May 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 725 0 0 09 Apr 2025
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 45 11 0 01 Apr 2024
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 7 0 08 Feb 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 49 5 0 12 Jan 2023
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 34 36 0 02 Nov 2022
Object-based active inference R. S. V. Bergen Pablo Lanillos OCL AI4CE 34 5 0 02 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 53 115 0 27 May 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Discrete and continuous representations and processing in deep learning: Looking forward Ruben Cartuyvels Graham Spinks Marie-Francine Moens OCL 33 20 0 04 Jan 2022
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... Chenxi Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 156 159 0 06 Aug 2021
Temporally Abstract Partial Models Khimya Khetarpal Zafarali Ahmed Gheorghe Comanici Doina Precup 26 14 0 06 Aug 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 24 44 0 27 Jul 2021
Generative Video Transformer: Can Objects be the Words? Yi-Fu Wu Jaesik Yoon Sungjin Ahn ViT 34 34 0 20 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 58 87 0 15 Jun 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell Rishabh Kabra Christopher P. Burgess Murray Shanahan OCL 30 29 0 08 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 19 3 0 07 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 27 100 0 06 Mar 2021
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 27 41 0 29 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 30 13 0 13 Nov 2020
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 27 80 0 05 Oct 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 87 0 06 Jul 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 25 77 0 27 Feb 2020
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 17 41 0 09 Oct 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 21 216 0 30 Sep 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 19 78 0 29 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 21 45 0 27 May 2019