2026-10-15T17:55:30Z https://data.mendeley.com/oai

oai:data.mendeley.com/32sjzxtgk7.1 2025-04-25T09:49:38Z

Wang, Kunyu Safe Gaussian distributed soft actor-critic (SGDSAC) algorithm Mendeley Data We have proposed a novel distributional DRL algorithm called safe Gaussian distributed soft actor-critic (SGDSAC). Additionally, to facilitate the training of DRL-based energy management strategies for HEVs using Python and Simulink, we have provided a DLL-based DRL environment configuration solution. We make our approach openly available here to facilitate the reviewers' evaluation of our work. The "log" folder contains the raw training data recorded by "TensorBoard" during algorithm training. You can convert these data into Excel files using the "LoggerVisualizer" function provided in each algorithm's code. Python environment: python 3.9.0 pytorch 2.1.2 pytorch-cuda 12.1 numpy 1.26.4 cvxopt 1.2.6 cvxpy 1.5.2 tensorboard 2.17.0 pandas 2.1.4 gym 0.26.2 Energy Management Deep Reinforcement Learning Dataset doi:10.17632/32sjzxtgk7.1 oai:data.mendeley.com/32sjzxtgk7.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/32sjzxtgk7 2025-04-25T09:49:38Z