ahalev commited on
Commit
eb3937c
1 Parent(s): 42f5c79

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +33 -0
README.md ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language: en
3
+ library_name: torch
4
+ license: mit
5
+ tags:
6
+ - table-2
7
+ ---
8
+
9
+ # Model Card for ahalev/mcuu-table-2-f940jqce
10
+
11
+ This model corresponds to run(s) in Table 2, specifically that with the hyperparameters:
12
+
13
+ **1)** {'scenario': 7, 'forecast_horizon': 6, 'intrinsic_reward_weight': 0.0001, 'bound_reward_weight': 'cosine', 'noise_std': 0.01}
14
+ **2)** {'scenario': 7, 'forecast_horizon': 12, 'intrinsic_reward_weight': 0.0001, 'bound_reward_weight': 'cosine', 'noise_std': 0.01}
15
+ **3)** {'scenario': 7, 'forecast_horizon': 24, 'intrinsic_reward_weight': 0.0001, 'bound_reward_weight': 'cosine', 'noise_std': 0.01}
16
+
17
+ ## Usage
18
+ ```python
19
+ from trainer import Trainer
20
+ trainer = Trainer.from_pretrained('ahalev/mcuu-table-2-f940jqce')
21
+ algo, env = trainer.algo, trainer.env
22
+
23
+ # Get an action from a random observation
24
+ action, _ = algo.policy.get_action(env.observation_space.sample())
25
+
26
+ # Evaluate the policy over 2920 timesteps
27
+ evaluation = trainer.evaluate()
28
+ ```
29
+
30
+ For more information, see the [repo](https://github.com/ahalev/Microgrid-Control-Under-Uncertainty)
31
+ and the [paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4866653).
32
+
33
+ This model was created by [@ahalev](https://hf.co/ahalev).