2020.4.6 Multiagent papers

04-02-2020	Learning to cooperate: Emergent communication in multi-agent navigation by Ivana Kajić et al
03-31-2020	A spatial agent based model for simulating and optimizing networked eco-industrial systems by J. Raimbault et al
04-02-2020	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning by Weichao Mao et al
03-31-2020	Automated Configuration of Negotiation Strategies by Bram M. Renting et al
04-01-2020	No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria by Andrea Celli et al
04-02-2020	Layer entanglement in multiplex, temporal multiplex, and coupled multilayer networks by Blaž Škrlj et al
03-31-2020	Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization by Stefan Vlaski et al
04-01-2020	Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication by Jianyu Su et al
03-31-2020	Mining International Political Norms from the GDELT Database by Rohit Murali et al
03-31-2020	A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks by Shi Pu
04-01-2020	Generate Country-Scale Networks of Interaction from Scattered Statistics by Samuel Thiriot et al
04-02-2020	Improving Confidence in the Estimation of Values and Norms by Luciano Cavalcante Siebert et al
04-02-2020	Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication by Shreyas Sundaram et al