An OpenAI Gym Env for Pandas
Project description
基于simpy的仿真环境
如何使用
安装
pip install gym_sch
简单用例
import gym
import gym_sch
env = gym.make('sch-v0')
print(env.observation_space)
env.reset(False)
done_n = False
episode = 0
while not done_n:
episode = episode + 1
# 动作为[0, shovels+dumps]
# 其中shovels为挖机数量,dumps为卸点数量
action = env.action_space.sample()
print(f'Choose Action {action}')
# 依次返回生产状态信息, 奖励信息, 班次是否结束, 其余信息, 累计产量
obs_n, reward_n, done_n, info, mass = env.step(action)
print("---------------------Summary---------------------")
print(f'episode {episode}')
print("obs:", obs_n)
print("reward:", reward_n)
print("mass:", mass)
env.close()#
详细参数说明及设置
TO DO
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