25 citations · 25 across the 6 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.AI2025
Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat
Joseph Emmanuel DL Dayo, Michel Onasis S. Ogbinar, Prospero C. Naval
The objective of this study is to design and implement a reinforcement learning (RL) environment using D\&D 5E combat scenarios to challenge smaller RL agents through interaction w…
cs.CV2025
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network
Joseph Emmanuel DL Dayo, Prospero C. Naval
The increasing demand for high-accuracy depth estimation in autonomous driving and augmented reality applications necessitates advanced neural architectures capable of effectively…