2020.3.2 Multiagent papers

 

02-26-2020

A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
by Ngoc Duy Nguyen et al

02-27-2020

Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market
by Pegah Rokhforoz et al

02-26-2020

Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control
by Junjia Liu et al

02-28-2020

SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network
by Hyeongseok Jeon et al

02-27-2020

C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs
by Amit Sarker et al

02-25-2020

TanksWorld: A Multi-Agent Environment for AI Safety Research
by Corban G. Rivera et al

02-27-2020

On Local Computation for Optimization in Multi-Agent Systems
by Robin Brown et al

02-28-2020

Real time Smart Contracts for IoT using Blockchain and Collaborative Intelligence based Dynamic Pricing for the next generation Smart Toll Application
by Misha Abraham et al

02-26-2020

Simulation of Real-time Routing for UAS traffic Management with Communication and Airspace Safety Considerations
by Zhao Jin et al

02-28-2020

Cities as they could be: Artificial Life and Urban Systems
by Juste Raimbault

02-25-2020

Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
by Jinming Xu et al

02-27-2020

Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
by Saaduddin Mahmud et al

 
Craig Smith