Data supporting the paper "Probabilistic Automata-based Method for Enhancing Performance of Deep Reinforcement Learning Systems"
收藏科学数据银行2024-09-26 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=6e53d348b845478f9bde1bd9bbda67c5
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资源简介：
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.
提供机构：
同济大学
创建时间：
2024-08-11
