The name and folder are as :
- DDQN - Double DQN
- PER - Priority Experience Replay
- SVM - with SVM
- woSVM - without SVM
So ,
DDQN-PERwoSVM : is Double DQN Priority Experience Replay without SVM
NLU_Deep : contains the integration of real NLU with the Deep RL Model
NLU_Table : contains the integration of the NLU with the traditional Q_table method
To run individual model its README is present in its respective folder. The folder SVM contains the code to run the SVM model with its dummy data.This model gives recommendation to the DRL method
| Algorithm | Average Episodic Reward | Average Dialouge Length | Training Time (in hrs) |
|---|---|---|---|
| DQN with SVM | -313.25 ± 308.63 | 367.52 ± 315.03 | 40.71 |
| DDQN with SVM | -273.52 ± 271.97 | 330.52 ± 278.67 | 54.2 |
| DQN-PER with SVM | -131.80 ± 181.13 | 183.2 ± 182.07 | 18.47 |
| DQN-PER | -569.85 ± 469.48 | 589.03 ± 479.09 | 16.83 |
| DDQN-PER with SVM | 57.20 ± 7.99 | 7.67 ± 0.53 | 20.82 |
| DDQN-PER | 50.07 ± 8.11 | 8.09 ± 1.06 | 17.74 |