2020.10.19 Multiagent papers

10-20-2020	Negotiating Team Formation Using Deep Reinforcement Learning by Yoram Bachrach et al
10-21-2020	On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality by Ezra Tampubolon et al
10-21-2020	I-nteract 2.0: A Cyber-Physical System to Design 3D Models using Mixed Reality Technologies and Deep Learning for Additive Manufacturing by Ammar Malik et al
10-21-2020	Coordinated Online Learning for Multi-Agent Systems with Coupled Constraints and Perturbed Utility Observations by Ezra Tampubolon et al
10-23-2020	Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning by Harald Bayerlein et al
10-23-2020	Predicting Infectiousness for Proactive Contact Tracing by Yoshua Bengio et al
10-21-2020	Differentially-Private Federated Linear Bandits by Abhimanyu Dubey et al
10-23-2020	Graph-Homomorphic Perturbations for Private Decentralized Learning by Stefan Vlaski et al
10-23-2020	Network Classifiers Based on Social Learning by Virginia Bordignon et al
10-22-2020	Multi-agent active perception with prediction rewards by Mikko Lauri et al
10-23-2020	Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams by Dave Braines et al
10-20-2020	Algebraic Structures from Concurrent Constraint Programming Calculi for Distributed Information in Multi-Agent Systems by Michell Guzmán et al
10-21-2020	Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty by Bo Fu et al
10-20-2020	A Particle Swarm Inspired Approach for Continuous Distributed Constraint Optimization Problems by Moumita Choudhury et al
10-22-2020	A simulation-based evaluation of a Cargo-Hitching service for E-commerce using mobility-on-demand vehicles by Andre Alho et al
10-21-2020	MADER: Trajectory Planner in Multi-Agent and Dynamic Environments by Jesus Tordesillas et al
10-21-2020	A Decentralised Self-Healing Approach for Network Topology Maintenance by Arles Rodríguez et al