4 papers
ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization
Yifei Chen, Shaoqin Zhu, Xiaoqiang Ji
Offline reinforcement learning methods typically enforce strict constraints to ensure safety; yet this rigidity often prevents the discovery of optimal behaviors outside the immedi…
Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading
Huangwei Chen, Junhao Jia, Ruocheng Li +7
Diabetic Retinopathy (DR) progresses as a continuous and irreversible deterioration of the retina, following a well-defined clinical trajectory from mild to severe stages. However,…
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
Yifei Chen, Lambert Schomaker
Studies in reward shaping for reinforcement learning (RL) have flourished in recent years due to its ability to speed up training. Our previous work proposed an adaptive potential…
Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions
Yifei Chen, Lambert Schomaker, Francisco Cruz
In reinforcement learning, reward shaping is an efficient way to guide the learning process of an agent, as the reward can indicate the optimal policy of the task. The potential-ba…