Daniel Alan Redder

MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems

Open agent systems are prevalent in the real world, where the sets of agents and tasks change over time. In this paper, we focus on task-open multi-agent systems, exemplified by applications such as ridesharing, where passengers (tasks) appear spontaneously over time and disappear if not attended to