2022.5.9 Multiagent papers

05-03-2022	Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration by Henna Kokkonen et al
05-05-2022	Automating Reasoning with Standpoint Logic via Nested Sequents by Tim S. Lyon et al
05-03-2022	On the Convergence of Fictitious Play: A Decomposition Approach by Yurong Chen et al
05-05-2022	Transferable Cross-Chain Options by Daniel Engel et al
05-05-2022	Multi-Agent Deep Reinforcement Learning in Vehicular OCC by Amirul Islam et al
05-03-2022	Model-Free Opponent Shaping by Chris Lu et al
05-04-2022	Creating Teams of Simple Agents for Specified Tasks: A Computational Complexity Perspective by T. Wareham
05-05-2022	Optimal Information Provision for Strategic Hybrid Workers by Sohil Shah et al
05-05-2022	ActorRL: A Novel Distributed Reinforcement Learning for Autonomous Intersection Management by Guanzhou Li et al
05-05-2022	Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations by Sangwon Seo et al
05-04-2022	On the Complexity of Majority Illusion in Social Networks by Umberto Grandi et al
05-06-2022	Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks by Steve Paul et al
05-05-2022	Utility-Based Context-Aware Multi-Agent Recommendation System for Energy Efficiency in Residential Buildings by Valentyna Riabchuk et al
05-03-2022	Data assimilation with agent-based models using Markov chain sampling by Daniel Tang et al
05-03-2022	Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance by Tianchen Ji et al
05-06-2022	Learning to Cooperate with Completely Unknown Teammates by Alexandre Neves et al