2 papers
cs.AI2026
From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments
Lijing Luo, Yiben Luo, Alexey Gorbatovski +2
The remarkable progress of reinforcement learning (RL) is intrinsically tied to the environments used to train and evaluate artificial agents. Moving beyond traditional qualitative…
cs.CV2025
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding
Jingming Xia, Guanqun Cao, Guang Ma +3
Monocular depth estimation involves predicting depth from a single RGB image and plays a crucial role in applications such as autonomous driving, robotic navigation, 3D reconstruct…