lorenzreyes commited on
Commit
1ed0916
1 Parent(s): 393a7dd

Push agent to the Hub

Browse files
README.md ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - CartPole-v1
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: CartPole-v1
17
+ type: CartPole-v1
18
+ metrics:
19
+ - type: mean_reward
20
+ value: 240.20 +/- 105.63
21
+ name: mean_reward
22
+ verified: false
23
+ ---
24
+
25
+ # PPO Agent Playing CartPole-v1
26
+
27
+ This is a trained model of a PPO agent playing CartPole-v1.
28
+
29
+ # Hyperparameters
30
+
logs/events.out.tfevents.1703647191.DESKTOP-5K96O1C.9980.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2ad04093f5b6974f6273c7d769470f1e6d50cefff46b36e37ed1d749bf51759
3
+ size 102310
model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b96a6b3800ee49255e5d8ea2514c6773f9bb1b7b7499a6a0a8ee90a3477e935
3
+ size 40338
replay.mp4 ADDED
Binary file (50.8 kB). View file
 
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"env_id": "CartPole-v1", "mean_reward": 240.2, "std_reward": 105.62935198135034, "n_evaluation_episodes": 10, "eval_datetime": "2023-12-27T11:20:17.430017"}