Commit a8bc838a authored by Unknown's avatar Unknown

Added note for low level training

parent 382065ac
......@@ -38,6 +38,7 @@ These are the minimum steps required to replicate the results for simple_interse
* To test one of these trained low-level policies, for example wait: `python3 low_level_policy_main.py --option=wait --test --saved_policy_in_root`
* Available maneuvers are: wait, changelane, stop, keeplane, follow
* These results are visually evaluated.
* Note: This training has a high variance due to the continuous action space, especially for stop and keeplane maneuvers. It may help to train for 0.2 million steps than the default 0.1 million by adding argument '--nb_steps=200000' while training.
* High-level policy:
* To train high-level policy from scratch using the given low-level policies: `python3 high_level_policy_main.py --train`
* To evaluate this trained high-level policy: `python3 high_level_policy_main.py --evaluate --saved_policy_in_root`.
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment