6 citations · 8 across the 12 of their papers we have counts for
5 papers · 1 filter
Learning to Clean: Reinforcement Learning for Noisy Label Correction
Marzi Heidari, Hanping Zhang, Yuhong Guo
The challenge of learning with noisy labels is significant in machine learning, as it can severely degrade the performance of prediction models if not addressed properly. This pape…
LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
Hanping Zhang, Yuhong Guo
Reinforcement Learning (RL) is known for its strong decision-making capabilities and has been widely applied in various real-world scenarios. However, with the increasing availabil…
Skill-based Safe Reinforcement Learning with Risk Planning
Hanping Zhang, Yuhong Guo
Safe Reinforcement Learning (Safe RL) aims to ensure safety when an RL agent conducts learning by interacting with real-world environments where improper actions can induce high co…
Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards
Hanping Zhang, Yuhong Guo
Safe Reinforcement Learning (Safe RL) aims to train an RL agent to maximize its performance in real-world environments while adhering to safety constraints, as exceeding safety vio…
Zero-Shot Action Generalization with Limited Observations
Abdullah Alchihabi, Hanping Zhang, Yuhong Guo
Reinforcement Learning (RL) has demonstrated remarkable success in solving sequential decision-making problems. However, in real-world scenarios, RL agents often struggle to genera…