Upload folder using huggingface_hub
Browse files- README.md +26 -0
- q-learning.pkl +3 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- FrozenLake-v1-4x4-no_slippery
|
4 |
+
- q-learning
|
5 |
+
- reinforcement-learning
|
6 |
+
model-index:
|
7 |
+
- name: q-FrozenLake-v1-4x4-noSlippery
|
8 |
+
results:
|
9 |
+
- task:
|
10 |
+
type: reinforcement-learning
|
11 |
+
name: reinforcement-learning
|
12 |
+
dataset:
|
13 |
+
name: FrozenLake-v1-4x4-no_slippery
|
14 |
+
type: FrozenLake-v1-4x4-no_slippery
|
15 |
+
metrics:
|
16 |
+
- type: mean_reward
|
17 |
+
value: 1.00 +/- 0.00
|
18 |
+
name: mean_reward
|
19 |
+
verified: false
|
20 |
+
---
|
21 |
+
|
22 |
+
# **Q-Learning** agent playing **FrozenLake-v1**
|
23 |
+
## Usage
|
24 |
+
model = load_from_hub(repo_id="kcdharma/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
|
25 |
+
env = gym.make(model["env_id"])
|
26 |
+
|
q-learning.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6ac133a8a2b021c7bc014355fc0d655e219c1f2dce9b95875f7781c4e69b4767
|
3 |
+
size 915
|
replay.mp4
ADDED
Binary file (31.1 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "std_reward": 0.0, "n_eval_episodes": 100, "eval_datetime": "2024-10-01T17:52:53.771606"}
|