2020.6.1 Multiagent papers

05-27-2020	Parameter Sharing is Surprisingly Useful for Multi-Agent Deep Reinforcement Learning by Justin K Terry et al
05-27-2020	OPRA: An Open-Source Online Preference Reporting and Aggregation System by Yiwei Chen et al
05-29-2020	Egalitarian and Just Digital Currency Networks by Gal Shahaf et al
05-27-2020	Tensor Decomposition for Multi-agent Predictive State Representation by Bilian Chen et al
05-28-2020	Task-Based Information Compression for Multi-Agent Communication Problems with Channel Rate Constraints by Arsham Mostaani et al
05-26-2020	On the Impossibility of Global Convergence in Multi-Loss Optimization by Alistair Letcher
05-26-2020	Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games by Hao Chen et al
05-26-2020	Sustainable and resilient strategies for touristic cities against COVID-19: an agent-based approach by Marco D'Orazio et al
05-27-2020	Stochastic Potential Games by David Mguni
05-29-2020	A Hierarchical Collision Avoidance Architecture for Multiple Fixed-Wing UAVs in an Integrated Airspace by Yajing Wang et al
05-26-2020	Agent-Based Simulation of Collective Cooperation: From Experiment to Model by Benedikt Kleinmeier et al
05-26-2020	Tight Bounds for Deterministic High-Dimensional Grid Exploration by Sebastian Brandt et al
05-27-2020	Time-Independent Planning for Multiple Moving Agents by Keisuke Okumura et al