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ahalev/mcuu-table-2-1o7w33o3
mcuu-table-2-1o7w33o3 is a machine learning model from ahalev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for torch. The card lists the license as mit.
This model corresponds to run(s) in Table 2, specifically that with the hyperparameters:
Downloads · 30 days
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19% of all-time downloads
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From the Hugging Face model README
This model corresponds to run(s) in Table 2, specifically that with the hyperparameters:
1) {'scenario': 6, 'forecast_horizon': 24, 'intrinsic_reward_weight': 0.0001, 'bound_reward_weight': 'cosine', 'noise_std': 0.01}
from trainer import Trainer
trainer = Trainer.from_pretrained('ahalev/mcuu-table-2-1o7w33o3')
algo, env = trainer.algo, trainer.env
# Get an action from a random observation
action, _ = algo.policy.get_action(env.observation_space.sample())
# Evaluate the policy over 2920 timesteps
evaluation = trainer.evaluate()
For more information, see the repo and the paper.
This model was created by @ahalev.