3 papers
cs.LG2026
Risk-Sensitive Reinforcement Learning with Smoothed Quantile Objectives
Mohammad Alipour-Vaezi, Huaiyang Zhong, Sajad Khodadadian
Reinforcement Learning (RL) has achieved tremendous success in recent years. However, the classical foundations of RL do not account for the risk sensitivity of the objective funct…
cs.LG2025
Optimistic Reinforcement Learning with Quantile Objectives
Mohammad Alipour-Vaezi, Huaiyang Zhong, Kwok-Leung Tsui +1
Reinforcement Learning (RL) has achieved tremendous success in recent years. However, the classical foundations of RL do not account for the risk sensitivity of the objective funct…
cs.LG2023
Harnessing Diverse Data for Global Disaster Prediction: A Multimodal Framework
Gengyin Liu, Huaiyang Zhong
As climate change intensifies, the urgency for accurate global-scale disaster predictions grows. This research presents a novel multimodal disaster prediction framework, combining…