Propagation Networks for Model-Based Control Under Partial Observation

28 September 2018

Yunzhu Li

Jiajun Wu

Jun-Yan Zhu

Antonio Torralba

Papers citing "Propagation Networks for Model-Based Control Under Partial Observation"

26 / 26 papers shown

Title
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keyi Shen Jiangwei Yu Huan Zhang Yunzhu Li Yunzhu Li 132 1 0 12 Dec 2024
Object-centric proto-symbolic behavioural reasoning from pixels R. S. V. Bergen Justus F. Hübotter Pablo Lanillos LM&Ro OCL 146 1 0 26 Nov 2024
Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Shilong Dong Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba Joshua B. Tenenbaum Chuang Gan OCL 91 2 0 02 Aug 2024
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 176 599 0 04 Jun 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 68 145 0 02 Apr 2018
Taking Visual Motion Prediction To New Heightfields Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi 42 23 0 22 Dec 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 58 71 0 31 Oct 2017
Fundamental Limitations in Performance and Interpretability of Common Planar Rigid-Body Contact Models Nima Fazeli Samuel Zapolsky Evan Drumwright Alberto Rodriguez 63 31 0 13 Oct 2017
Simple Recurrent Units for Highly Parallelizable Recurrence Tao Lei Yu Zhang Sida I. Wang Huijing Dai Yoav Artzi LRM 73 274 0 08 Sep 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 973 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 85 556 0 19 Jul 2017
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 99 98 0 19 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 74 333 0 11 Jul 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 62 69 0 07 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 480 7,431 0 04 Apr 2017
Experimental Validation of Contact Dynamics for In-Hand Manipulation Roman Kolbert Nikhil Chavan-Dafle Alberto Rodriguez 30 28 0 06 Feb 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 62 291 0 28 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 366 440 0 01 Dec 2016
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 508 1,407 0 01 Dec 2016
A Differentiable Physics Engine for Deep Learning in Robotics Jonas Degrave Michiel Hermans J. Dambre Francis Wyffels PINN AI4CE 61 229 0 05 Nov 2016
Quasi-Recurrent Neural Networks James Bradbury Stephen Merity Caiming Xiong R. Socher 128 441 0 05 Nov 2016
More than a Million Ways to Be Pushed: A High-Fidelity Experimental Dataset of Planar Pushing Kuan-Ting Yu Maria Bauzá Nima Fazeli Alberto Rodriguez 47 181 0 14 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 86 1,012 0 02 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014