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LunarLanderV2
Unterwexi/LunarLanderV2
LunarLanderV2 is a reinforcement learning model from Unterwexi. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO( policy = 'MlpPolicy', env = env, nsteps = 1024, batchsize = 64, nepochs = 4, gamma = 0.999, gaelambda = 0.98, entcoef = 0.01, verbose=1) agent playing LunarLander-v2 using the stable-…
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Dec 11, 2022
- Updated
- Dec 11, 2022
- SHA
- c7a37c6f
Model card
From the Hugging Face model README
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
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Dec 11, 2022
- Updated
- Dec 11, 2022