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Johnlhugface/
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 with MlpPolicy setting - verbose=1, n_steps=1024, batch_size=64, n_epochs = 4, gamma = 0.999, gae_lambda = 0.98, ent_coef = 0.01 Agent playing LunarLander-v2

This is a trained model of a PPO with MlpPolicy setting - verbose=1, n_steps=1024, batch_size=64, n_epochs = 4, gamma = 0.999, gae_lambda = 0.98, ent_coef = 0.01 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

...

Johnlhugface/ppo-LunarLander-v2

PPO with MlpPolicy setting - verbose=1, n_steps=1024, batch_size=64, n_epochs = 4, gamma = 0.999, gae_lambda = 0.98, ent_coef = 0.01 Agent playing LunarLander-v2

Usage (with Stable-baselines3)

Johnlhugface/
ppo-LunarLander-v2