2020.02.17 Multiagent papers

 

02-15-2020

Designing Interaction for Multi-agent Cooperative System in an Office Environment
by Chao Wang et al

02-13-2020

Internet of Smart-Cameras for Traffic Lights Optimization in Smart Cities
by Willy Carlos Tchuitcheu et al

02-14-2020

Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
by Navid Naderializadeh et al

02-12-2020

Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation
by Kyle Tilbury et al

02-13-2020

Sequential Cooperative Bayesian Inference
by Junqi Wang et al

02-16-2020

R-MADDPG for Partially Observable Environments and Limited Communication
by Rose E. Wang et al

02-14-2020

Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic
by Hao Cheng et al

02-13-2020

Gradient tracking and variance reduction for decentralized optimization and machine learning
by Ran Xin et al

02-12-2020

Social and Child Care Provision in Kinship Networks: an Agent-Based Model
by Umberto Gostoli et al

02-14-2020

Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
by Jiachen Li et al

02-14-2020

Resource-Aware Control via Dynamic Pricing for Congestion Game with Finite-Time Guarantees
by Ezra Tampubolon et al

02-14-2020

Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning
by Borja G. León et al

02-13-2020

Vision-Based Real-Time Indoor Positioning System for Multiple Vehicles
by Maximilian Kloock et al

02-17-2020

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
by Qiaomin Xie et al

02-14-2020

Jelly Bean World: A Testbed for Never-Ending Learning
by Emmanouil Antonios Platanios et al

02-12-2020

Learning Graph Influence from Social Interactions
by Vincenzo Matta et al

02-12-2020

Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs
by Emanuele Pesce et al

 
Craig Smith