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README.md

@@ -1,3 +1,23 @@
+---
+tags:
+- CartPole-v1
+- q-learning
+- reinforcement-learning
+- custom-implementation
+metrics:
+  mean_reward: 207.90 +/- 39.60
+dataset:
+  name: CartPole-v1
+  type: gymnasium
+license: mit
+downloads:
+  count: 0
+  count_query_files:
+  - config.json
+  - model_index.json
+  - pytorch_model.bin
+  - safetensors
+---
 
     # **DQN** Agent playing **CartPole-v1**
     This is a trained model of a **DQN** agent playing **CartPole-v1**.
@@ -11,6 +31,6 @@
     model.learn(total_timesteps=300000, log_interval=250)
     
     ## Evaluation Results
-    - Mean Reward: 196.50
-    - Standard Deviation: 26.80
+    - Mean Reward: 207.90
+    - Standard Deviation: 39.60
     

config.json

@@ -1,20 +0,0 @@
----
-tags:
-- CartPole-v1
-- q-learning
-- reinforcement-learning
-- custom-implementation
-metrics:
-  mean_reward: 196.50 +/- 26.80
-dataset:
-  name: CartPole-v1
-  type: gymnasium
-license: mit
-downloads:
-  count: 0
-  count_query_files:
-  - config.json
-  - model_index.json
-  - pytorch_model.bin
-  - safetensors
----

dqn_cartpole.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41c918a805160c9c4445926002ea72a2d9746e6418bf81b3373b552354b45859
+oid sha256:8f5f55621c9f556d34d6f928361e750af1b7261c7a399a987268d2fba80eeddf
 size 100118

results.json

@@ -1 +1 @@
-{"env_id": "CartPole-v1", "mean_reward": 196.5, "std_reward": 26.796454989419775, "eval_datetime": "2024-12-19T10:05:35.340492"}
+{"env_id": "CartPole-v1", "mean_reward": 207.9, "std_reward": 39.60164138012464, "eval_datetime": "2024-12-19T10:06:53.485818"}