please see if the reward values are correct

[gaya1thri]

We got the below results of reward after training rl model
And rl+llm model (we used llama instead of gpt 4 as u suggested)
Here it executed until 41 step and finally got the reward when training with llm but it accepted every decision of rl considering it as reasonable always
But the reward reduced from
-187165.8(rl) to -2.29(rl+llm).
Is the reward we getting is correct?
And also how do we get the mean travel time, mean waiting time and mean speed values?

[pangay]

The final output of the program is the cumulative reward, so I believe the value of -2.29 is problematic. Regarding the training, the code I provided does not incorporate the large model into the training process. The idea behind this code is to first train the RL model, and then, during usage, attach the LLM. In other words, you need to train the RL model weights first and then combine the trained RL model with the LLM.