asubiabre commited on
Commit
10353e9
1 Parent(s): b11dff4

Push agent to the Hub

Browse files
README.md ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - LunarLander-v2
4
+ - ppo
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - custom-implementation
8
+ - deep-rl-course
9
+ model-index:
10
+ - name: PPO
11
+ results:
12
+ - task:
13
+ type: reinforcement-learning
14
+ name: reinforcement-learning
15
+ dataset:
16
+ name: LunarLander-v2
17
+ type: LunarLander-v2
18
+ metrics:
19
+ - type: mean_reward
20
+ value: -161.08 +/- 72.39
21
+ name: mean_reward
22
+ verified: false
23
+ ---
24
+
25
+ # PPO Agent Playing LunarLander-v2
26
+
27
+ This is a trained model of a PPO agent playing LunarLander-v2.
28
+
29
+ # Hyperparameters
30
+
logs/events.out.tfevents.1684817849.6adb51822f8d.18308.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad5c38450f218d458f5697b40e08d1dce2711262ef5dfc0b9088081d3bac6b9f
3
+ size 113060
model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a4a542759e8cb05309babc9dcd97182db05bed25b6ee26c3081899a9bf497320
3
+ size 42469
replay.mp4 ADDED
Binary file (30.2 kB). View file
 
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"env_id": "LunarLander-v2", "mean_reward": -161.07792288613976, "std_reward": 72.38611991222575, "n_evaluation_episodes": 10, "eval_datetime": "2023-05-23T04:58:07.581800"}