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thatgeeman/
PPO-lunarlanderv2-hfRLU1

Name: PPO-lunarlanderv2-hfRLU1
Availability: InStock

stable-baselines3

LunarLander-v2

deep-reinforcement-learning

reinforcement-learning

model-index

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PPO Agent playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.

Model parameters

python

model = PPO(
    policy = 'MlpPolicy',
    env = env,
    n_steps = 1024,
    batch_size = 64,
    n_epochs = 10,
    gamma = 0.999,
    gae_lambda = 0.98,
    ent_coef = 0.01,
    verbose=1)

Trained for 10^6 steps using

python

steps = 1e6
model.learn(total_timesteps=int(steps))

Usage (with Stable-baselines3)

TODO: Add your code

python

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...

thatgeeman/PPO-lunarlanderv2-hfRLU1

PPO Agent playing LunarLander-v2

Model parameters

Usage (with Stable-baselines3)

thatgeeman/
PPO-lunarlanderv2-hfRLU1