2021.11.1 Multiagent papers

10-27-2021	Reinforcement Learning in Factored Action Spaces using Tensor Decompositions by Anuj Mahajan et al
10-27-2021	Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks by Jianhong Wang et al
10-28-2021	Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery by Zhe Chen et al
10-27-2021	Dynamic population-based meta-learning for multi-agent communication with natural language by Abhinav Gupta et al
10-26-2021	Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey by Tianxu Li et al
10-28-2021	Learning to Ground Multi-Agent Communication with Autoencoders by Toru Lin et al
10-26-2021	Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost by Shivakumar Mahesh et al
10-29-2021	Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System by Simon Vanneste et al
10-28-2021	Decentralized Feature-Distributed Optimization for Generalized Linear Models by Brighton Ancelin et al
10-26-2021	A Reinforcement Learning Approach for Re-allocating Drone Swarm Services by Balsam Alkouz et al
10-26-2021	Collective decision-making under changing social environments among agents adapted to sparse connectivity by Richard P. Mann
10-27-2021	Paving the Way for Consensus: Convergence of Block Gossip Algorithms by Jamie Haddock et al
10-29-2021	Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning by Astrid Vanneste et al
10-27-2021	ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets by Selim Amrouni et al
10-27-2021	V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL by Chi Jin et al
10-27-2021	Model based Multi-agent Reinforcement Learning with Tensor Decompositions by Pascal Van Der Vaart et al