Push agent to the Hub

README.md

@@ -0,0 +1,61 @@
+---
+tags:
+- LunarLander-v2
+- ppo
+- deep-reinforcement-learning
+- reinforcement-learning
+- custom-implementation
+- deep-rl-course
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: 36.78 +/- 99.26
+      name: mean_reward
+      verified: false
+---
+
+  # PPO Agent Playing LunarLander-v2
+
+  This is a trained model of a PPO agent playing LunarLander-v2.
+    
+  # Hyperparameters
+  ```python
+  {'exp_name': 'ppo'
+'seed': 1
+'torch_deterministic': True
+'cuda': True
+'track': False
+'wandb_project_name': 'cleanRL'
+'wandb_entity': None
+'capture_video': False
+'env_id': 'LunarLander-v2'
+'total_timesteps': 500000
+'learning_rate': 0.00025
+'num_envs': 4
+'num_steps': 4
+'anneal_lr': True
+'gae': True
+'gamma': 0.999
+'gae_lambda': 0.98
+'num_minibatches': 4
+'update_epochs': 4
+'norm_adv': True
+'clip_coef': 0.2
+'clip_vloss': True
+'ent_coef': 0.01
+'vf_coef': 0.5
+'max_grad_norm': 0.5
+'target_kl': None
+'repo_id': 'Segamboam/CleanRL-ppo-LunarLander-v1'
+'batch_size': 16
+'minibatch_size': 4}
+  ```
+  

logs/events.out.tfevents.1676826902.af6d2cadb665.6223.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57e6e67535509be12f1cbc5a8c481c878ed185b708cd18b714a6e83c561eff38
+size 16365127

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0126b05987853ab0e09c9f340f9aa4c5a9b1365e84c2e9219c3c3df3bec475e
+size 42597

results.json

@@ -0,0 +1 @@
+{"env_id": "LunarLander-v2", "mean_reward": 36.77832931136389, "std_reward": 99.26035390823485, "n_evaluation_episodes": 10, "eval_datetime": "2023-02-19T18:11:26.546255"}