2021.8.2 Multiagent papers

07-29-2021	Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training by Piyush K. Sharma et al
07-29-2021	Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems by Amy A. Winecoff et al
07-27-2021	Open-Ended Learning Leads to Generally Capable Agents by Open-Ended Learning Team et al
07-30-2021	Distributed Event- and Self-Triggered Coverage Control with Speed Constrained Unicycle Robots by Yuni Zhou et al
07-28-2021	Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System by Bang Xiang Yong et al
07-30-2021	Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning by Robert Loftin et al
07-27-2021	Fully Distributed LQR-based Controller Design for Multi-input Time-varying Systems by Peihu Duan et al
07-28-2021	Operationally-Safe Peer-to-Peer Energy Trading in Distribution Grids: A Game-Theoretic Market-Clearing Mechanism by Giuseppe Belgioioso et al
07-29-2021	Strategic Voting in the Context of Negotiating Teams by Leora Schmerler et al
07-28-2021	Social groups in pedestrian crowds: Review of their influence on the dynamics and their modelling by Alexandre Nicolas et al