Training data from Reinforced SciNet
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://zenodo.org/record/4425740
下载链接
链接失效反馈官方服务：
资源简介：
Summary:
The results from the training of neural networks in v2 of Reinforced SciNet, published partially in v2 of the paper Operationally meaningful representations of physical systems in neural networks.
File description:
results.txt - The results from the training during reinforcement learning.
results_loss.txt - The loss from the training during representation learning.
selection.txt - The noise level of latent neurons during representation learning.
Parameters: Reinforcement Learning
Server parameters
21 workers, 2 predictors, 1 trainer each
3M episodes
Training parameters
glow: 0.1
gamma: 0.01
softmax: 0.5
learning rate: 0.00005
reward clipping: 1.0e-7
Network parameters
DPS model:
{'env1': [128, 128, 128, 128, 64, 32],
'env2': [128, 128, 128, 128, 64, 32],
'env3': [128, 128, 128, 128, 64, 32]}
Parameters: Representation Learning
Server parameters
21 workers, 2 predictors, 1 trainer each
5M episodes
Training parameters
learning rate: 0.0001
reward clipping: 1.0e-7
selection discount: 0.04
minimization discount: 0.02
ae discount: 10.0
agent discount: 1.
reward rescaling: 10
predicted actions: 1
training data: 200K
Network parameters
Prediction model:
{'env1': [64, 128, 128, 128, 128, 64, 32],
'env2': [64, 128, 128, 128, 128, 64, 32],
'env3': [64, 128, 128, 128, 128, 64, 32]}
Encoder model: [128, 128, 64, 32]
Decoder model: [32, 64, 128, 128, 128]
创建时间：
2021-01-11
