[RL-baseline] Model v5, experiment #3 #46
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Action set #2 was chosen for this experiment:
[0.0, 0.0, 0.0], # no action
[0.0, 0.8, 0.0], # throttle
[0.0, 0.0, 0.6], # break
[-0.9, 0.0, 0.0], # left
[0.9, 0.0, 0.0], # right
The Running Reward oscillated between 200 up until the 20k episode mark, where it suddenly dropped. Since the other experiments had experienced long intervals of low reward during training, I decided to train up to 30k episodes to see if the RR could improve, but the result was disappointing.
Final Running Reward was 72, with an achieved max of 379 around the 4k episode mark.
Tensorboard screenshots below:
Sample video below:
https://user-images.githubusercontent.com/1465235/113551628-44479480-95f5-11eb-9a6f-dc3a6e61ced5.mp4