Update README.md
Browse files
README.md
CHANGED
|
@@ -2,4 +2,28 @@
|
|
| 2 |
license: mit
|
| 3 |
size_categories:
|
| 4 |
- 10M<n<100M
|
| 5 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
license: mit
|
| 3 |
size_categories:
|
| 4 |
- 10M<n<100M
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
#And the Devil said, "Let there be Air"
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
#TheEnd #Open-Source and free to use dataset. Only ask is to cite if
|
| 13 |
+
you are using code or dataset for research, publication etc.
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
This contains 30,000,000 training time-steps using Ubuntu Linux,
|
| 17 |
+
Tensorflow 2.xx and PPO algorithm to train a single agent car racing
|
| 18 |
+
utilizing CarRacing-v3 Gymnasium environment
|
| 19 |
+
which is a maintained fork of OpenAI’s Gym library.
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
Trained 30000000 but rolled-back to 29352960 timestep checkpoint as the
|
| 23 |
+
agent performance is stable till about 29000000 with perfect runs
|
| 24 |
+
between 900-999 after 19 trials and 1 800-899 for a total of 20 trials.
|
| 25 |
+
With 30million timesteps it either turns left or right and then stops. The reason for
|
| 26 |
+
the drastic change is due to Policy Collapse, Catastrophic Forgetting.
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
This agent learns to uses the FIFO (Fast In Fast Out) cornering strategy in racing which is a high risk, high reward style
|