| A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning | Nicolas Carion · Nicolas Usunier · Gabriel Synnaeve · Alessandro Lazaric |
| Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control | Sai Qian Zhang · Qi Zhang · Jieyu Lin |
| Learning Mean-Field Games | Xin Guo · Anran Hu · Renyuan Xu · Junzi Zhang |
| Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity | Deepak Pathak · Christopher Lu · Trevor Darrell · Phillip Isola · Alexei Efros |
| LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning | Yali Du · Lei Han · Meng Fang · Ji Liu · Tianhong Dai · Dacheng Tao |
| On the Utility of Learning about Humans for Human-AI Coordination | Micah Carroll · Rohin Shah · Mark Ho · Tom Griffiths · Sanjit Seshia · Pieter Abbeel · Anca Dragan |
| Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning | Chao Qu · Shie Mannor · Huan Xu · Yuan Qi · Le Song · Junwu Xiong |
| Biases for Emergent Communication in Multi-agent Reinforcement Learning | Tom Eccles · Yoram Bachrach · Guy Lever · Angeliki Lazaridou · Thore Graepel |
| Ease-of-Teaching and Language Structure from Emergent Communication | Fushan Li · Michael Bowling |
| Finding Friend and Foe in Multi-Agent Games | Jack Serrino · Max Kleiman-Weiner · David Parkes · Josh Tenenbaum |
| Learning Fairness in Multi-Agent Systems | Jiechuan Jiang · Zongqing Lu |
| MAVEN: Multi-Agent Variational Exploration | Anuj Mahajan · Tabish Rashid · Mikayel Samvelyan · Shimon Whiteson |
| Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach | Shuyue Hu · Chin-wing Leung · Ho-fung Leung |
| Multi-Agent Common Knowledge Reinforcement Learning | Christian Schroeder de Witt · Jakob Foerster · Gregory Farquhar · Philip Torr · Wendelin Boehmer · Shimon Whiteson |