| language: en | |
| library_name: torch | |
| license: mit | |
| tags: | |
| - table-2 | |
| # Model Card for ahalev/mcuu-table-2-5jhdyl0u | |
| This model corresponds to run(s) in Table 2, specifically that with the hyperparameters: | |
| **1)** {'scenario': 4, 'forecast_horizon': 24, '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-2-5jhdyl0u') | |
| 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). |