Mohammad Momayezi
Mohammad Momayezi
env_func already exists! Can you clarify this?
Same problem here! Solution mentioned by @AlexLiddiard solved the issue. But why it hasn't been fixed yet on elegantrl?!
I traced the issue but not sure how to solve it yet. In the `train_and_evaluate` function in `run.py`, `agent.explore_env()` returns a list of 5 tensors while it's supposed to return...
I solved the issue, I'll create a pull request shortly.
I created the required PRs to solve the issue.
In addition to changing `agent` to `agent_class` in elegantrl_models.py, the run.py in elegantrl had to be modified as well.
How do you set your environment?
I understand. But I'm running the exact the same code with a constant random seed. The results does not change no matter how many times I run the code whether...