Interaction Networks for Learning about Objects, Relations and Physics

1 December 2016

Papers citing "Interaction Networks for Learning about Objects, Relations and Physics"

10 / 210 papers shown

Title
Recurrent Relational Networks Rasmus Berg Palm Ulrich Paquet Ole Winther GNN ReLM NAI 31 139 0 21 Nov 2017
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 890 0 11 Nov 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 23 14 0 24 Oct 2017
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 19 237 0 19 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 21 230 0 14 Jun 2017
On-the-fly Operation Batching in Dynamic Computation Graphs Graham Neubig Yoav Goldberg Chris Dyer 21 60 0 22 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 19 69 0 07 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 78 1,502 0 25 Jan 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016