Skip to content

htang113/RL_H_diffusion

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

73 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Reinforcement learning guided long timescale simulation

Folder rlmd: Classes for neural network model, RL training, interatomic potential and KMC environment, and trajectory loader Folder POSCARs: Initial structure files train_DQN.py, train_context_bandit.py: code to launch deep Q network in H diffusion in Cu slab or contextual bandit training in H diffusion in CrCoNi medium entropy alloy deploy_DQN.py, deploy_context_bandit.py: code to deploy the deep Q network or contextual bandit model and sample trajectories model_DQN.pt, model_context_bandit.py: trained model files for deploy_DQN.py and deploy_context_bandit.py to load and deploy.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors