Data supporting the paper "Probabilistic Automata-based Method for Enhancing Performance of Deep Reinforcement Learning Systems"

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 github.com/zcajiayin/L2D, the model pong-v4.zip can be downloaded from github.com/greydanus/baby-a3c, and the model ppo2_cartpole.zip can be downloaded from 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.