Anant58 commited on
Commit
6bc59de
1 Parent(s): 703fea0

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: -44.86 +/- 19.79
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.1704269060.35f4f6d7a054.14708.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d954414bb31b68632e69c15ddaaf7dd217741c9ae9f9f905956584fbab326c9
3
+ size 673752
model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f77ef9c75a6010d53b638b2fbf6a0a2a078997ab1d6d29a1b7ff740ac1d0c4bf
3
+ size 43026
replay.mp4 ADDED
Binary file (221 kB). View file
 
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"env_id": "LunarLander-v2", "mean_reward": -44.86285169123458, "std_reward": 19.787832052598066, "n_evaluation_episodes": 10, "eval_datetime": "2024-01-03T08:18:43.863577"}