Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use GFCACACE/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use GFCACACE/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="GFCACACE/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
primera versión del cursitoooooo
Browse files- README.md +1 -1
- ppo-LunarLander-v3.zip +1 -1
- results.json +1 -1
README.md
CHANGED
|
@@ -16,7 +16,7 @@ model-index:
|
|
| 16 |
type: LunarLander-v3
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
-
value:
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
|
|
|
| 16 |
type: LunarLander-v3
|
| 17 |
metrics:
|
| 18 |
- type: mean_reward
|
| 19 |
+
value: 238.94 +/- 53.97
|
| 20 |
name: mean_reward
|
| 21 |
verified: false
|
| 22 |
---
|
ppo-LunarLander-v3.zip
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 149937
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c83be17c03b4150c3c0dec4f31baf6e4f86518fd8ee8d48714b260cb17eb7bb0
|
| 3 |
size 149937
|
results.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"mean_reward":
|
|
|
|
| 1 |
+
{"mean_reward": 238.9402295120889, "std_reward": 53.96990735191425, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-12-19T17:39:29.530608"}
|