2 papers
cs.LG2025
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
Golnoosh Abdollahinejad, Saleh Baghersalimi, Denisa-Andreea Constantinescu +2
This work addresses the challenge of forecasting urban water dynamics by developing a multi-input, multi-output deep learning model that incorporates both endogenous variables (e.g…
cs.LG2023
PCGPT: Procedural Content Generation via Transformers
Sajad Mohaghegh, Mohammad Amin Ramezan Dehnavi, Golnoosh Abdollahinejad +1
The paper presents the PCGPT framework, an innovative approach to procedural content generation (PCG) using offline reinforcement learning and transformer networks. PCGPT utilizes…