Relational Forward Models for Multi-Agent Learning

Relational Forward Models for Multi-Agent Learning

28 September 2018

Andrea Tacchetti

Neil C. Rabinowitz

Peter W. Battaglia

Papers citing "Relational Forward Models for Multi-Agent Learning"

16 / 16 papers shown

Title
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis James Rudd-Jones Mirco Musolesi María Pérez-Ortiz 34 0 0 17 Apr 2025
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 61 8 0 22 Apr 2023
Interaction Modeling with Multiplex Attention Fan-Yun Sun Isaac Kauvar Ruohan Zhang Jiachen Li Mykel Kochenderfer Jiajun Wu Nick Haber 24 19 0 23 Aug 2022
Discrete-Valued Neural Communication Dianbo Liu DianboLiu Alex Lamb Kenji Kawaguchi Anirudh Goyal Chen Sun Michael C. Mozer Yoshua Bengio 23 50 0 06 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
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 50 82 0 02 Mar 2021
Multi-agent Trajectory Prediction with Fuzzy Query Attention Nitin Kamra Hao Zhu Dweep Trivedi Ming Zhang Yan Liu AI4CE 21 31 0 29 Oct 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 19 61 0 16 Jun 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 23 131 0 28 Apr 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 51 1,050 0 21 Feb 2020
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 0 27 Sep 2019
A Sufficient Statistic for Influence in Structured Multiagent Environments F. Oliehoek Stefan J. Witwicki L. Kaelbling 12 23 0 22 Jul 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks Ekaterina V. Tolstaya Fernando Gama James Paulos George Pappas Vijay R. Kumar Alejandro Ribeiro GNN 38 173 0 25 Mar 2019
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 11 335 0 22 Oct 2018
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 280 1,400 0 01 Dec 2016