gym-Prescan

Developed by @MohammadRaziei

Files & Folders :

• gym_prescan : That's the main folder and provided as the environment.
  • gym_prescan/envs : There is some codes writhen with python and registered in OpenAI-gym:
    • gym_prescan/envs/prescan_env.py: about prescan-v0
    • gym_prescan/envs/prescan_env2.py: about prescan-without-matlabengine-v0
  • gym_prescan/envs/PreScan: It's the PreScan folder.
• test : There's some RL-algorithms using stable-baseline

Standard test:

import gym, gym_prescan

env_dict = {
    'id':       'prescan-without-matlabengine-v0',
    'host':     '172.21.217.140',
    'verbose':  True,
    'nget':     152
}
env = gym.make(**env_dict)
for i_episode in range(20):
    observation = env.reset()
    for t in range(100):
        env.render()
        print(observation)
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)
        if done:
            print("Episode finished after {} timesteps".format(t+1))
            break
env.close()

Explanation:

• 'id' must be 'prescan-v0' or 'prescan-without-matlabengine-v0'
• 'host' can be ignored if you have local run ('host' takes 'localhost' as default.)
• if 'verbose' took True as value, logs are allowed to be printed in terminal.