2020.12.21 Multiagent papers

12-17-2020	Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning by Matthieu Zimmer et al
12-15-2020	Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication by T. van der Heiden et al
12-15-2020	Open Problems in Cooperative AI by Allan Dafoe et al
12-16-2020	L\evy walks derived from a Bayesian decision-making model in non-stationary environments by Shuji Shinohara et al
12-15-2020	Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games by Stratis Skoulakis et al
12-16-2020	Incentivizing Truthfulness Through Audits in Strategic Classification by Andrew Estornell et al
12-17-2020	Game-theoretic Models of Moral and Other-Regarding Agents by Gabriel Istrate
12-15-2020	Fast-Convergent Dynamics for Distributed Resource Allocation Over Time-Varying Networks by Mohammadreza Doostmohammadian et al
12-15-2020	Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication by Sen Lin et al
12-15-2020	Distributed Wasserstein Barycenters via Displacement Interpolation by Pedro Cisneros-Velarde et al
12-18-2020	Achieving State Machine Replication without Honesty Assumptions by Conor McMenamin et al
12-18-2020	Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty by Aravind Venugopal et al
12-16-2020	Team Assignment for Heterogeneous Multi-Robot Sensor Coverage through Graph Representation Learning by Brian Reily et al
12-16-2020	Adaptation to Team Composition Changes for Heterogeneous Multi-Robot Sensor Coverage by Brian Reily et al
12-16-2020	Adaptive Multi-Agent E-Learning Recommender Systems by Nethra Viswanathan
12-18-2020	A Distributed Simplex Architecture for Multi-Agent Systems by Usama Mehmood et al
12-16-2020	Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances by Jingkai Chen et al