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rorotz/
ppo-LunarLander-v2

Name: ppo-LunarLander-v2
Availability: InStock

stable-baselines3

LunarLander-v2

deep-reinforcement-learning

reinforcement-learning

model-index

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PPO(policy = 'MlpPolicy',env = env,n_steps = 1024,batch_size = 64,n_epochs = 4,gamma = 0.999,gae_lambda = 0.98,ent_coef = 0.01,verbose=1) Agent playing LunarLander-v2

This is a trained model of a PPO(policy = 'MlpPolicy',env = env,n_steps = 1024,batch_size = 64,n_epochs = 4,gamma = 0.999,gae_lambda = 0.98,ent_coef = 0.01,verbose=1) agent playing LunarLander-v2 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

python

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...

rorotz/ppo-LunarLander-v2

PPO(policy = 'MlpPolicy',env = env,n_steps = 1024,batch_size = 64,n_epochs = 4,gamma = 0.999,gae_lambda = 0.98,ent_coef = 0.01,verbose=1) Agent playing LunarLander-v2

Usage (with Stable-baselines3)

rorotz/
ppo-LunarLander-v2