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innocent-charles/
RL-ppo-LunarLander-v2

Name: RL-ppo-LunarLander-v2
Availability: InStock

stable-baselines3

LunarLander-v2

deep-reinforcement-learning

reinforcement-learning

model-index

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PPO Agent playing LunarLander-v2

This model is trained using PPO [proximal policy optimization algorithm invented by OpenAI] The RL-based agent playing to land correctly on the moon using LunarLander environment as simulator.

Usage (with Stable-baselines3)

TODO: Add your code

python

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

repo_id = "innocent-charles/RL-ppo-LunarLander-v2"
filename = "RL-ppo-LunarLander-v2.zip"

custom_objects = {
            "learning_rate": 0.0,
            "lr_schedule": lambda _: 0.0,
            "clip_range": lambda _: 0.0,
}

checkpoint = load_from_hub(repo_id, filename)
model = PPO.load(checkpoint, custom_objects=custom_objects, print_system_info=True)

...