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Adam Eck

3 accepted papers

2025

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

UAI 2025

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

Cited by 0SourcePDFScholar
2022

Decision-theoretic planning with communication in open multiagent systems

UAI 2022poster

In open multiagent systems, the set of agents operating in the environment changes over time and in ways that are nontrivial to predict. For example, if collaborative robots were tasked with fighting wildfires, they may run out of suppressants and be temporarily unavailable to assist their peers. Be…