Compositional Multi-Object Reinforcement Learning with Linear Relation Networks

31 January 2022

Stefan Bauer

Francesco Locatello

Papers citing "Compositional Multi-Object Reinforcement Learning with Linear Relation Networks"

38 / 38 papers shown

Title
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 143 3 0 23 Oct 2024
Conditional Object-Centric Learning from Video Thomas Kipf Gamaleldin F. Elsayed Aravindh Mahendran Austin Stone S. Sabour G. Heigold Rico Jonschkowski Alexey Dosovitskiy Klaus Greff OCL 91 218 0 24 Nov 2021
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes Alex X. Lee Coline Devin Yuxiang Zhou Thomas Lampe Konstantinos Bousmalis ... Stefano Saliceti Federico Casarini Martin Riedmiller R. Hadsell F. Nori OffRL 74 100 0 12 Oct 2021
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger Arthur Allshire Mayank Mittal Varun Lodaya Viktor Makoviychuk Denys Makoviichuk Felix Widmaier Manuel Wüthrich Stefan Bauer Ankur Handa Animesh Garg 82 72 0 22 Aug 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 61 16 0 12 Jul 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 112 1,638 0 02 Jun 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation Niklas Funk Charles B. Schaff Rishabh Madan Takuma Yoneda Julen Urain De Jesus ... Stefan Bauer S. Srinivasa Tapomayukh Bhattacharjee Matthew R. Walter Jan Peters 67 35 0 05 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 341 1,148 0 27 Apr 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 278 263 0 09 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 48 42 0 29 Nov 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 91 121 0 08 Oct 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 59 72 0 08 Aug 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 214 845 0 26 Jun 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 226 474 0 10 Mar 2020
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 56 111 0 23 Dec 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 41 27 0 17 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 60 97 0 03 Sep 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 67 41 0 05 Jul 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 104 509 0 01 Mar 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 72 129 0 28 Dec 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 127 1,877 0 01 Aug 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 154 221 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 741 3,119 0 04 Jun 2018
Relation Networks for Object Detection Han Hu Jiayuan Gu Zheng Zhang Jifeng Dai Yichen Wei ObjD 102 1,222 0 30 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 288 4,047 0 16 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 459 20,124 0 30 Oct 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 133 1,094 0 28 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 463 19,006 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 670 131,414 0 12 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 177 1,614 0 05 Jun 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 77 686 0 21 Mar 2017
Discovering objects and their relations from entangled scene representations David Raposo Adam Santoro David Barrett Razvan Pascanu Timothy Lillicrap Peter W. Battaglia GNN OCL 76 71 0 16 Feb 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 524 1,408 0 01 Dec 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 83 226 0 18 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 602 29,032 0 09 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 389 10,481 0 21 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
A Model of Inductive Bias Learning Jonathan Baxter 103 1,213 0 01 Jun 2011