Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pettet, Ava"'
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
Autor:
Sivagnanam, Amutheezan, Pettet, Ava, Lee, Hunter, Mukhopadhyay, Ayan, Dubey, Abhishek, Laszka, Aron
An emergency responder management (ERM) system dispatches responders, such as ambulances, when it receives requests for medical aid. ERM systems can also proactively reposition responders between predesignated waiting locations to cover any gaps that
Externí odkaz:
http://arxiv.org/abs/2405.13205
Autor:
Pettet, Ava, Zhang, Yunuo, Luo, Baiting, Wray, Kyle, Baier, Hendrik, Laszka, Aron, Dubey, Abhishek, Mukhopadhyay, Ayan
Sequential decision-making under uncertainty is present in many important problems. Two popular approaches for tackling such problems are reinforcement learning and online search (e.g., Monte Carlo tree search). While the former learns a policy by in
Externí odkaz:
http://arxiv.org/abs/2401.03197
Autor:
Luo, Baiting, Ramakrishna, Shreyas, Pettet, Ava, Kuhn, Christopher, Karsai, Gabor, Mukhopadhyay, Ayan
Learning Enabled Components (LEC) have greatly assisted cyber-physical systems in achieving higher levels of autonomy. However, LEC's susceptibility to dynamic and uncertain operating conditions is a critical challenge for the safety of these systems
Externí odkaz:
http://arxiv.org/abs/2302.09750