CESMA: Centralized Expert Supervises Multi-Agents
Lin et al.: https://arxiv.org/abs/1902.02311
#MultiagentSystems #ArtificialIntelligence #MachineLearning #Systems #Control
Lin et al.: https://arxiv.org/abs/1902.02311
#MultiagentSystems #ArtificialIntelligence #MachineLearning #Systems #Control
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
A multi-agent platform on top of ML-Agents and Unity.
Song et al.: https://arxiv.org/abs/1905.08085
#MultiagentSystems #ReinforcementLearning #ArtificialIntelligence
A multi-agent platform on top of ML-Agents and Unity.
Song et al.: https://arxiv.org/abs/1905.08085
#MultiagentSystems #ReinforcementLearning #ArtificialIntelligence
Learning Vision-based Flight in Drone Swarms by Imitation
Schilling et al.: https://arxiv.org/abs/1908.02999
#Robotics #MachineLearning #MultiagentSystems
Schilling et al.: https://arxiv.org/abs/1908.02999
#Robotics #MachineLearning #MultiagentSystems
arXiv.org
Learning Vision-based Flight in Drone Swarms by Imitation
Decentralized drone swarms deployed today either rely on sharing of positions
among agents or detecting swarm members with the help of visual markers. This
work proposes an entirely visual...
among agents or detecting swarm members with the help of visual markers. This
work proposes an entirely visual...
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Resnick et al.: https://arxiv.org/abs/1910.11424
#ArtificialIntelligence #MachineLearning #MultiagentSystems
Resnick et al.: https://arxiv.org/abs/1910.11424
#ArtificialIntelligence #MachineLearning #MultiagentSystems