Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Laszka, Aron"'
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:
Han, Chaeeun, Talusan, Jose Paolo, Freudberg, Dan, Mukhopadhyay, Ayan, Dubey, Abhishek, Laszka, Aron
Public transportation systems often suffer from unexpected fluctuations in demand and disruptions, such as mechanical failures and medical emergencies. These fluctuations and disruptions lead to delays and overcrowding, which are detrimental to the p
Externí odkaz:
http://arxiv.org/abs/2403.04072
Autor:
Talusan, Jose Paolo, Han, Chaeeun, Mukhopadhyay, Ayan, Laszka, Aron, Freudberg, Dan, Dubey, Abhishek
Public bus transit systems provide critical transportation services for large sections of modern communities. On-time performance and maintaining the reliable quality of service is therefore very important. Unfortunately, disruptions caused by overcr
Externí odkaz:
http://arxiv.org/abs/2403.03339
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
The increasing reliance of drivers on navigation applications has made transportation networks more susceptible to data-manipulation attacks by malicious actors. Adversaries may exploit vulnerabilities in the data collection or processing of navigati
Externí odkaz:
http://arxiv.org/abs/2312.14625
When a number of similar tasks have to be learned simultaneously, multi-task learning (MTL) models can attain significantly higher accuracy than single-task learning (STL) models. However, the advantage of MTL depends on various factors, such as the
Externí odkaz:
http://arxiv.org/abs/2310.16241
Autor:
Wilbur, Michael, Sivagnanam, Amutheezan, Ayman, Afiya, Samaranayeke, Samitha, Dubey, Abhishek, Laszka, Aron
There are more than 7,000 public transit agencies in the U.S. (and many more private agencies), and together, they are responsible for serving 60 billion passenger miles each year. A well-functioning transit system fosters the growth and expansion of
Externí odkaz:
http://arxiv.org/abs/2308.07457
Autor:
Roy, Shanto, Sharmin, Nazia, Miah, Mohammad Sujan, Acosta, Jaime C, Kiekintveld, Christopher, Laszka, Aron
Adversarial reconnaissance is a crucial step in sophisticated cyber-attacks as it enables threat actors to find the weakest points of otherwise well-defended systems. To thwart reconnaissance, defenders can employ cyber deception techniques, such as
Externí odkaz:
http://arxiv.org/abs/2306.06769
Autor:
Roy, Shanto, Panaousis, Emmanouil, Noakes, Cameron, Laszka, Aron, Panda, Sakshyam, Loukas, George
The MITRE ATT&CK framework, a comprehensive knowledge base of adversary tactics and techniques, has been widely adopted by the cybersecurity industry as well as by academic researchers. Its broad range of industry applications include threat intellig
Externí odkaz:
http://arxiv.org/abs/2304.07411
Autor:
Kim, Youngseo, Edirimanna, Danushka, Wilbur, Michael, Pugliese, Philip, Laszka, Aron, Dubey, Abhishek, Samaranayake, Samitha
The offline pickup and delivery problem with time windows (PDPTW) is a classical combinatorial optimization problem in the transportation community, which has proven to be very challenging computationally. Due to the complexity of the problem, practi
Externí odkaz:
http://arxiv.org/abs/2303.03475