Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Wąsowski, Andrzej"'
Tabular reinforcement learning methods cannot operate directly on continuous state spaces. One solution for this problem is to partition the state space. A good partitioning enables generalization during learning and more efficient exploitation of pr
Externí odkaz:
http://arxiv.org/abs/2409.16791
Autor:
Bencomo, Nelly, Cabot, Jordi, Chechik, Marsha, Cheng, Betty H. C., Combemale, Benoit, Wąsowski, Andrzej, Zschaler, Steffen
Modern software-based systems operate under rapidly changing conditions and face ever-increasing uncertainty. In response, systems are increasingly adaptive and reliant on artificial-intelligence methods. In addition to the ubiquity of software with
Externí odkaz:
http://arxiv.org/abs/2408.14074
Autor:
Mosthaf, My M., Wąsowski, Andrzej
The development of domain-specific languages (DSLs) is a laborious and iterative process that seems to naturally lean to the use of generative artificial intelligence. We design and prototype DSL Assistant, a tool that integrates generative language
Externí odkaz:
http://arxiv.org/abs/2408.09766
Autor:
Timperley, Christopher S., van der Hoorn, Gijs, Santos, André, Deshpande, Harshavardhan, Wąsowski, Andrzej
Publikováno v:
ROBUST: 221 bugs in the Robot Operating System CS Timperley, G van der Hoorn, A Santos, H Deshpande, A W\k{a}sowski Empirical Software Engineering 29 (3), 57, 2024
As robotic systems such as autonomous cars and delivery drones assume greater roles and responsibilities within society, the likelihood and impact of catastrophic software failure within those systems is increased.To aid researchers in the developmen
Externí odkaz:
http://arxiv.org/abs/2404.03629
Active learning aims to select the minimum amount of data to train a model that performs similarly to a model trained with the entire dataset. We study the potential of active learning for image segmentation in underwater infrastructure inspection ta
Externí odkaz:
http://arxiv.org/abs/2403.14002
Data analysis has high value both for commercial and research purposes. However, disclosing analysis results may pose severe privacy risk to individuals. Privug is a method to quantify privacy risks of data analytics programs by analyzing their sourc
Externí odkaz:
http://arxiv.org/abs/2308.16700
We present a new symbolic execution semantics of probabilistic programs that include observe statements and sampling from continuous distributions. Building on Kozen's seminal work, this symbolic semantics consists of a countable collection of measur
Externí odkaz:
http://arxiv.org/abs/2307.09951
Autor:
Silva, Gustavo Rezende, Bozhinoski, Darko, Oviedo, Mario Garzon, Montero, Mariano Ramírez, Garcia, Nadia Hammoudeh, Deshpande, Harshavardhan, Wasowski, Andrzej, Corbato, Carlos Hernandez
Self-adaptation can be used in robotics to increase system robustness and reliability. This work describes the Metacontrol method for self-adaptation in robotics. Particularly, it details how the MROS (Metacontrol for ROS Systems) framework implement
Externí odkaz:
http://arxiv.org/abs/2303.09227
Autor:
Ghorbani, Amir, Cassee, Nathan, Robinson, Derek, Alami, Adam, Ernst, Neil A., Serebrenik, Alexander, Wasowski, Andrzej
Software bots fulfill an important role in collective software development, and their adoption by developers promises increased productivity. Past research has identified that bots that communicate too often can irritate developers, which affects the
Externí odkaz:
http://arxiv.org/abs/2302.05048