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README.md

@@ -1,12 +1,12 @@
 ---
-library_name: stable-baselines3
 tags:
 - CartPole-v1
-- deep-reinforcement-learning
+- reinforce
 - reinforcement-learning
-- stable-baselines3
+- custom-implementation
+- deep-rl-class
 model-index:
-- name: PPO
+- name: Reinforce-CartPole-v1
   results:
   - task:
       type: reinforcement-learning
@@ -16,22 +16,12 @@ model-index:
       type: CartPole-v1
     metrics:
     - type: mean_reward
-      value: 500.00 +/- 0.00
+      value: 20.60 +/- 6.71
       name: mean_reward
       verified: false
 ---
 
-# **PPO** Agent playing **CartPole-v1**
-This is a trained model of a **PPO** agent playing **CartPole-v1**
-using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
-
-## Usage (with Stable-baselines3)
-TODO: Add your code
-
-
-```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
-
-...
-```
+  # **Reinforce** Agent playing **CartPole-v1**
+  This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
+  To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
+  

hyperparameters.json

@@ -0,0 +1 @@
+{"h_size": 16, "n_training_episodes": 1000, "n_evaluation_episodes": 10, "max_t": 1000, "gamma": 1.0, "lr": 0.01, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2}

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b207304122a32079f5313add683aa92a29888c3fe12769db6cb7db1f341716d7
+size 2579

results.json

@@ -1 +1 @@
-{"mean_reward": 500.0, "std_reward": 0.0, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-02-20T09:37:24.910890"}
+{"env_id": "CartPole-v1", "mean_reward": 20.6, "n_evaluation_episodes": 10, "eval_datetime": "2024-02-20T09:57:02.663013"}