cpagym 0.1.2

Accounting Reinforcement Learning GYM for Ai-Accountants .为会计人打造的专属智能会计强化学习框架。

Accounting Gym-Env 智能会计强化学习虚拟环境

Redefining Accounting! Developed by Bfsu Ai-Accounting Team (c) 2023 Github

Install & Import 安装和导入

For detailed installation instructions, see the documentation.

pip install cpagym
import gymnasium as gym
import cpagym as cg 

Accounting Envs 主要会计环境

1. Moral_Hazard 道德风险

env = gym.make("Moral_Hazard-v1")
observation, info = env.reset(seed=2)
n_steps = 10
for _ in range(n_steps):
    action = env.action_space.sample()
    observation, reward, terminated, truncated, info = env.step(action)
    print(observation, reward, terminated, truncated, info )
    if terminated or truncated:
        observation, info = env.reset()

2. AsymmetricInfo 信息不对称

env = gym.make("AsymmetricInfo-v1")
observation, info = env.reset(seed=2)
n_steps = 20
for _ in range(n_steps):
    action = env.action_space.sample()
    observation, reward, terminated, truncated, info  = env.step(action)
    print(observation, reward, terminated, truncated, info )
    if terminated or truncated:
        observation, info = env.reset()

3. Inventory 存货管理

env = gym.make("Inventory-v1")
observation, info = env.reset(seed=2)
n_steps = 30
#plot demand
env.plot_demand()        
for _ in range(n_steps):
    action = env.action_space.sample()
    observation, reward, terminated, truncated, info  = env.step(action)
    print(observation, reward, terminated, truncated, info )
    if terminated or truncated:
        observation, info = env.reset()

配套智能会计包CPANLP

Check out: https://cpanlp.com/reinforcement