mttpv commited on
Commit
09aa472
·
verified ·
1 Parent(s): 642f78b

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: -157.55 +/- 94.87
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.1772438049.f791d7fac2a6.620.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3c67242789d87160a7e9d9fe6bcc0872ea19cc00f28315965f619576223e5fb
3
+ size 221313
model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:055739177b6612e8de8dd9885353e3e688725a0514366d900ccc15555262a256
3
+ size 43419
replay.mp4 ADDED
Binary file (24.6 kB). View file
 
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"env_id": "LunarLander-v2", "mean_reward": -157.55203635340928, "std_reward": 94.86939205863497, "n_evaluation_episodes": 10, "eval_datetime": "2026-03-02T07:55:35.945174"}