Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Mobile usage patterns often entail high and fluctuating levels of difficulty as well as dual tasking. One major theme explored in this research is whether a flexible multimodal in...
Sharon L. Oviatt, Rachel Coulston, Rebecca Lunsfor...
Parallel programming has proven to be an effective technique to improve the performance of computationally intensive applications. However, writing parallel programs is not easy, ...
Roberto Di Cosmo, Zheng Li, Susanna Pelagatti, Pie...
Intelligent software personal assistants for human organizations are an active research area within the multiagent community. However, while many capabilities for these software p...
The vision of an integrated Earth observation system to help protect and sustain the planet and its inhabitants is significant and timely, and thus has been identified recently by...