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Despite the popularity of multi-agent reinforcement learning (RL) in simulated and two-player applications, its success in messy real-world applications has been limited. A key challenge lies in its generalizability across problem variations, a commo
Externí odkaz:
http://arxiv.org/abs/2410.15221
Autor:
Jayawardana, Vindula, Freydt, Baptiste, Qu, Ao, Hickert, Cameron, Sanchez, Edgar, Tang, Catherine, Taylor, Mark, Leonard, Blaine, Wu, Cathy
The sheer scale and diversity of transportation make it a formidable sector to decarbonize. Here, we consider an emerging opportunity to reduce carbon emissions: the growing adoption of semi-autonomous vehicles, which can be programmed to mitigate st
Externí odkaz:
http://arxiv.org/abs/2408.05609
Deep reinforcement learning (RL) is a powerful approach to complex decision making. However, one issue that limits its practical application is its brittleness, sometimes failing to train in the presence of small changes in the environment. Motivated
Externí odkaz:
http://arxiv.org/abs/2408.04498
Autor:
Ioan Bâldea
Publikováno v:
Molecules, Vol 27, Iss 22, p 8092 (2022)
Totally ignoring that the five enthalpies of reaction—bond dissociation enthalpy (BDE), adiabatic ionization potential (IP), proton dissociation enthalpy (PDE), proton affinity (PA), and electron transfer enthalpy (ETE)—characterizing the three f
Externí odkaz:
https://doaj.org/article/aabe9260ece042dab034aab6fe95473e
Autor:
Qu, Ao, Valiveru, Anirudh, Tang, Catherine, Jayawardana, Vindula, Freydt, Baptiste, Wu, Cathy
Signalized intersections, arguably the most complicated type of traffic scenario, are essential to urban mobility systems. With recent advancements in intelligent transportation technologies, signalized intersections have great prospects for making t
Externí odkaz:
http://arxiv.org/abs/2405.13480
Autor:
Abeysinghe, Yasasi, Mahanama, Bhanuka, Jayawardena, Gavindya, Jayawardana, Yasith, Sunkara, Mohan, Duchowski, Andrew T., Ashok, Vikas, Jayarathna, Sampath
Publikováno v:
International Journal of Multimedia Data Engineering and Management (IJMDEM) 15.1 (2024) 1-20
Understanding how individuals focus and perform visual searches during collaborative tasks can help improve user engagement. Eye tracking measures provide informative cues for such understanding. This article presents A-DisETrac, an advanced analytic
Externí odkaz:
http://arxiv.org/abs/2404.08143
Autor:
Jayawardana, Yasith, Ahmad, Azeem, Ahluwalia, Balpreet S., Ahmad, Rafi, Jayarathna, Sampath, Wadduwage, Dushan N.
Predictions of opaque black-box systems are frequently deployed in high-stakes applications such as healthcare. For such applications, it is crucial to assess how models handle samples beyond the domain of training data. While several metrics and tes
Externí odkaz:
http://arxiv.org/abs/2403.14058
Conventional control, such as model-based control, is commonly utilized in autonomous driving due to its efficiency and reliability. However, real-world autonomous driving contends with a multitude of diverse traffic scenarios that are challenging fo
Externí odkaz:
http://arxiv.org/abs/2403.04232
An emerging public health application of connected and automated vehicle (CAV) technologies is to reduce response times of emergency medical service (EMS) by indirectly coordinating traffic. Therefore, in this work we study the CAV-assisted corridor
Externí odkaz:
http://arxiv.org/abs/2312.10339