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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: A2C
+- name: CartPole-v1
   results:
   - task:
       type: reinforcement-learning
@@ -16,22 +16,12 @@ model-index:
       type: CartPole-v1
     metrics:
     - type: mean_reward
-      value: 9.00 +/- 0.77
+      value: 500.00 +/- 0.00
       name: mean_reward
       verified: false
 ---
 
-# **A2C** Agent playing **CartPole-v1**
-This is a trained model of a **A2C** 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:b4ed309e2d6e4e225cc451d2393e4a035dc364310f4e9c23bd4d4fd07d6ac6d8
+size 2579

results.json

@@ -1 +1 @@
-{"mean_reward": 9.0, "std_reward": 0.7745966692414834, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-28T14:09:39.704706"}
+{"env_id": "CartPole-v1", "mean_reward": 500.0, "n_evaluation_episodes": 10, "eval_datetime": "2023-03-05T14:49:40.172558"}