2021.3.1 Multiagent papers

02-25-2021	Social Welfare Maximization and Conformism via Information Design in Linear-Quadratic-Gaussian Games by Furkan Sezer et al
02-23-2021	PolicySpace2: modeling markets and endogenous housing policies by Bernardo Alves Furtado
02-24-2021	Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning by Sheng Li et al
02-24-2021	Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments by Dmitry Ivanov et al
02-26-2021	Collisionless and Decentralized Formation Control for Strings by Young-Pil Choi et al
02-24-2021	Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning by Jianzhun Shao et al
02-24-2021	MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings by Jingyao Ren et al
02-23-2021	Greedy Multi-step Off-Policy Reinforcement Learning by Yuhui Wang et al
02-25-2021	Active Modular Environment for Robot Navigation by Shota Kameyama et al
02-23-2021	School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget by Omkar Shelke et al
02-24-2021	Modelling SARS-CoV-2 coevolution with genetic algorithms by Aymeric Vie
02-23-2021	Dynamic Games among Teams with Delayed Intra-Team Information Sharing by Dengwang Tang et al
02-23-2021	Models we Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation by Gabriel Istrate
02-26-2021	Morning commute in congested urban rail transit system: A macroscopic model for equilibrium distribution of passenger arrivals by Jiahua Zhang et al
02-24-2021	Cellular Automata and Kan Extensions by Alexandre Fernandez et al
02-25-2021	V-RVO: Decentralized Multi-Agent Collision Avoidance using Voronoi Diagrams and Reciprocal Velocity Obstacles by Senthil Hariharan Arul et al
02-26-2021	Engineering Swarms of Cyber-Physical Systems with the CPSwarm Workbench by Micha Sende et al