2021.12.6 Multiagent papers

12-03-2021	Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays by Cong Wang et al
11-30-2021	The Power of Communication in a Distributed Multi-Agent System by Philipp Dominic Siedler
12-01-2021	Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems by Alberto Castagna et al
12-03-2021	Episodic Policy Gradient Training by Hung Le et al
12-01-2021	Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling by Avinandan Bose et al
12-01-2021	Reward-Free Attacks in Multi-Agent Reinforcement Learning by Ted Fujimoto et al
12-01-2021	Personalized Federated Learning of Driver Prediction Models for Autonomous Driving by Manabu Nakanoya et al
12-01-2021	Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling by Chen Tang et al
12-02-2021	A Communication-efficient Federated learning assisted by Central data: Implementation of vertical training into Horizontal Federated learning by Shuo Wan et al
12-01-2021	Collective discrete optimisation as judgment aggregation by Linus Boes et al
12-02-2021	Multi-Agent Intention Sharing via Leader-Follower Forest by Zeyang Liu et al
12-02-2021	Resonating Minds -- Emergent Collaboration Through Hierarchical Active Inference by Jan Pöppel et al
12-01-2021	Empirical Game-Theoretic Analysis in Mean Field Games by Yongzhao Wang et al
12-02-2021	Multi-scale simulation of COVID-19 epidemics by Benoit Doussin et al
11-30-2021	Coordinated Multi-Robot Trajectory Tracking over Sampled Communication by Enrica Rossi et al
12-02-2021	Distributed Control for a Robotic Swarm to Pass through a Curve Virtual Tube by Quan Quan et al
12-02-2021	Control of over-redundant cooperative manipulation via sampled communication by Enrica Rossi et al