2021.7.5 Multiagent papers

 

07-01-2021

SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
by Kai Liu et al

07-01-2021

Enhancing Multi-Robot Perception via Learned Data Association
by Nathaniel Glaser et al

07-02-2021

Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation
by Edward Elson Kosasih et al

06-29-2021

Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach
by Franck Djeumou et al

06-30-2021

Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting
by Justin Luke et al

07-01-2021

A Discrete-time Reputation-based Resilient Consensus Algorithm for Synchronous or Asynchronous Communications
by Guilherme Ramos et al

06-29-2021

Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
by Annie Wong et al

06-30-2021

Faithful Edge Federated Learning: Scalability and Privacy
by Meng Zhang et al

06-30-2021

Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution
by Alex Raymond et al

07-01-2021

Distributed Multi-agent Navigation Based on Reciprocal Collision Avoidance and Locally Confined Multi-agent Path Finding
by Stepan Dergachev et al

06-29-2021

Smart and Context-Aware System employing Emotions Recognition
by Stuti Sehgal et al

07-01-2021

Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking
by Nathaniel Glaser et al

 
Craig Smith