2026-10-14T18:42:42Z https://www.scidb.cn/oai

10.57760/sciencedb.11765 2024-09-26T19:04:18Z

2024-09-26 Data supporting the paper "Probabilistic Automata-based Method for Enhancing Performance of Deep Reinforcement Learning Systems" doi:10.57760/sciencedb.11765 en This dataset is the supporting data of the paper "Probabilistic Automata-based Method for Enhancing Performance of Deep Reinforcement Learning Systems". The model JSSP-model.zip can be downloaded from https://github.com/zcajiayin/L2D, the model pong-v4.zip can be downloaded from https://github.com/greydanus/baby-a3c, and the model ppo2_cartpole.zip can be downloaded from https://github.com/DLR-RM/rl-trained-agents/tree/master/ppo. The core codes of the framework proposed in the paper are: cluster.py and BFS.py. BFS ; Probabilistic Automata; DRL Min Yang PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset http://www.doi.org/10.1109/jas.2024.124818 Science Data Bank