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andyv237
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ppo-LunarLander-v2

Reinforcement Learning
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Model card Files
xet
 Metrics Community
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Push agent to the Hub

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  1. README.md +34 -15
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README.md CHANGED
@@ -1,10 +1,11 @@
1
  ---
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- library_name: stable-baselines3
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  tags:
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  - LunarLander-v2
 
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  - deep-reinforcement-learning
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  - reinforcement-learning
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- - stable-baselines3
 
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  model-index:
9
  - name: PPO
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  results:
@@ -16,22 +17,40 @@ model-index:
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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- value: 247.09 +/- 19.27
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  name: mean_reward
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  verified: false
22
  ---
23
 
24
- # **PPO** Agent playing **LunarLander-v2**
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- This is a trained model of a **PPO** agent playing **LunarLander-v2**
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- using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
27
 
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- ## Usage (with Stable-baselines3)
29
- TODO: Add your code
30
 
31
-
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- ```python
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- from stable_baselines3 import ...
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- from huggingface_sb3 import load_from_hub
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-
36
- ...
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
2
  tags:
3
  - LunarLander-v2
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+ - ppo
5
  - deep-reinforcement-learning
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  - reinforcement-learning
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+ - custom-implementation
8
+ - deep-rl-course
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  model-index:
10
  - name: PPO
11
  results:
 
17
  type: LunarLander-v2
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  metrics:
19
  - type: mean_reward
20
+ value: 0.96 +/- 89.17
21
  name: mean_reward
22
  verified: false
23
  ---
24
 
25
+ # PPO Agent Playing LunarLander-v2
 
 
26
 
27
+ This is a trained model of a PPO agent playing LunarLander-v2.
 
28
 
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+ # Hyperparameters
30
+ ```python
31
+ {'gym_id': 'LunarLander-v2'
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+ 'env_id': 'LunarLander-v2'
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+ 'capture_video': False
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+ 'seed': 1
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+ 'num_envs': 4
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+ 'run_name': 'LunarLander-v2-1'
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+ 'total_timesteps': 50000
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+ 'learning_rate': 0.00025
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+ 'num_steps': 128
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+ 'batch_size': 512
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+ 'anneal_lr': True
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+ 'gae': True
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+ 'gamma': 0.99
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+ 'gae_lambda': 0.95
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+ 'num_minibatches': 4
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+ 'minibatch_size': 128
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+ 'update_epochs': 4
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+ 'norm_adv': True
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+ 'clip_coef': 0.2
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+ 'clip_vloss': True
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+ 'ent_coef': 0.01
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+ 'vf_coef': 0.5
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+ 'max_grad_norm': 0.5
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+ 'target_kl': None}
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+ ```
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+
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