2020.6.15 Multiagent papers

06-10-2020	Efficient democratic decisions via nondeterministic proportional consensus by Jobst Heitzig et al
06-10-2020	Learning to Incentivize Other Learning Agents by Jiachen Yang et al
06-11-2020	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward by Guannan Qu et al
06-09-2020	Online Learning in Iterated Prisoners Dilemma to Mimic Human Behavior by Baihan Lin et al
06-12-2020	Human and Multi-Agent collaboration in a human-MARL teaming framework by Neda Navidi et al
06-10-2020	The Emergence of Individuality in Multi-Agent Reinforcement Learning by Jiechuan Jiang et al
06-12-2020	FedGAN: Federated Generative AdversarialNetworks for Distributed Data by Mohammad Rasouli et al
06-12-2020	Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning by Filippos Christianos et al
06-09-2020	Democratising blockchain: A minimal agency consensus model by Marcin Abram et al
06-09-2020	Policy-focused Agent-based Modeling using RL Behavioral Models by Osonde A. Osoba et al
06-11-2020	Learning Individually Inferred Communication for Multi-Agent Cooperation by Ziluo Ding et al
06-12-2020	Learning to Communicate Using Counterfactual Reasoning by Simon Vanneste et al
06-09-2020	Towards Jacamo-rest: A Resource-Oriented Abstraction for Managing Multi-Agent Systems by Cleber Jorge Amaral et al
06-10-2020	A framework for modeling interdependencies among households, businesses, and infrastructure systems; and their response to disruptions by Mateusz Iwo Dubaniowski et al
06-11-2020	Multi-Agent Informational Learning Processes by Justin K Terry et al
06-09-2020	Agent Programming for Industrial Applications: Some Advantages and Drawbacks by Otávio Arruda Matoso et al
06-12-2020	Nefele: Process Orchestration for the Cloud by Mina Sedaghat et al
06-11-2020	GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest by Alexander Birch Jensen et al
06-10-2020	A Separation-Based Methodology to Consensus Tracking of Switched High-Order Nonlinear Multi-Agent Systems by Maolong Lv et al
06-09-2020	Polarization in Attraction-Repulsion Models by Elisabetta Cornacchia et al
06-11-2020	BioDynaMo: an agent-based simulation platform for scalable computational biology research by Lukas Breitwieser et al