Search Results for author:
Found 1 papers, 1 papers with code
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
We introduce a novel framework for generalized Gaussian error modeling in deep reinforcement learning to enhance the flexibility of error distribution modeling by incorporating additional higher-order moment, particularly kurtosis, thereby improving the estimation and mitigation of data-dependent aleatoric uncertainty.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
