Push agent to the Hub

README.md

@@ -0,0 +1,62 @@
+---
+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: 80.64 +/- 85.00
+      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'
+'gym_id': 'LunarLander-v2'
+'learning_rate': 0.00025
+'seed': 1
+'total_timesteps': 1000000
+'torch_deterministic': True
+'cuda': True
+'track': False
+'wandb_project_name': 'ppo-implementation-details'
+'wandb_entity': None
+'capture_video': False
+'num_envs': 8
+'num_steps': 1024
+'anneal_lr': True
+'gae': True
+'gamma': 0.99
+'gae_lambda': 0.98
+'num_minibatches': 128
+'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
+'push_to_hf': False
+'repo_id': 'orepin/custom-ppo-LunarLander-v2-1m'
+'batch_size': 8192
+'minibatch_size': 64}
+  ```
+  

logs/events.out.tfevents.1685174168.Almiras-MacBook-Air.local.56763.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:599262c1bbbc160c87a1a99d7467eb553744207b8a5e30fcb5323c3163e0cac3
+size 327025

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f0fcf9e89f2a08d89685a7ad7b7e4775167ca6203a129c611165aef5b7f193f
+size 42469

results.json

@@ -0,0 +1 @@
+{"env_id": "LunarLander-v2", "mean_reward": 80.64018205788493, "std_reward": 84.99773754694841, "n_evaluation_episodes": 30, "eval_datetime": "2023-05-27T09:26:58.760736"}