activity
20202026
most citedMulti-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.PL2026

Transformers for Program Termination

Yoav Alon, Cristina David

Determining whether a program terminates is a core challenge in program analysis with direct implications for correctness, verification, and security. We investigate whether transf…

cs.LG2024

Integrating Large Language Models and Reinforcement Learning for Non-Linear Reasoning

Yoav Alon, Cristina David

Large Language Models (LLMs) were shown to struggle with long-term planning, which may be caused by the limited way in which they explore the space of possible solutions. We propos…

eess.IV2022★ 3 cited

Neuroplastic graph attention networks for nuclei segmentation in histopathology images

Yoav Alon, Huiyu Zhou

Modern histopathological image analysis relies on the segmentation of cell structures to derive quantitative metrics required in biomedical research and clinical diagnostics. State…

eess.IV2021

Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images

Yoav Alon, Xiang Yu, Huiyu Zhou

Synthetic generation of three-dimensional cell models from histopathological images aims to enhance understanding of cell mutation, and progression of cancer, necessary for clinica…

cs.RO2020★ 4 cited

Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization

Yoav Alon, Huiyu Zhou

Recent technological progress in the development of Unmanned Aerial Vehicles (UAVs) together with decreasing acquisition costs make the application of drone fleets attractive for a…