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cs.AI2024
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking
Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla +2
Flocking is a behavior where multiple agents in a system attempt to stay close to each other while avoiding collision and maintaining a desired formation. This is observed in the n…
cs.AI2018
An Approximation Algorithm for Risk-averse Submodular Optimization
Lifeng Zhou, Pratap Tokekar
We study the problem of incorporating risk while making combinatorial decisions under uncertainty. We formulate a discrete submodular maximization problem for selecting a set using…