AI for Good: Collaborative Heterogeneous Swarms in Partially Known Settings
Jul 23, 2022
·
0 min read
Abstract
Presented multi-agent reinforcement learning for search-and-rescue operations and disaster assessment, and advocated for inclusive AI solutions accessible to all, emphasising the needs of communities in Africa.
Date
Jul 23, 2022
Location
Vienna, Austria
Authors
Ph.D. Student in Artificial Intelligence
I am a Ph.D. student in Artificial Intelligence at Ai Movement, the International Artificial Intelligence Center of Morocco at UM6P. My research interests are multi-agent reinforcement learning, graph-based communication between agents, and heterogeneous swarm coordination — in particular how structural priors over an agent’s communication graph can make coordination scale under partial observability.
Before starting the Ph.D. I graduated from the School of Information Sciences (ESI) as a Data and Knowledge engineer, and worked on applied computer vision and conversational AI.