language: en | |
library_name: torch | |
license: mit | |
tags: | |
- table-2 | |
# Model Card for ahalev/mcuu-table-2-h5mclbzr | |
This model corresponds to run(s) in Table 2, specifically that with the hyperparameters: | |
**1)** {'scenario': 6, 'forecast_horizon': 6, 'intrinsic_reward_weight': 0.0001, 'bound_reward_weight': 'cosine', 'noise_std': 0.01} | |
## Usage | |
```python | |
from trainer import Trainer | |
trainer = Trainer.from_pretrained('ahalev/mcuu-table-2-h5mclbzr') | |
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](https://github.com/ahalev/Microgrid-Control-Under-Uncertainty) | |
and the [paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4866653). | |
This model was created by [@ahalev](https://hf.co/ahalev). |