# RL-Accounting 会计强化学习
<a href="https://pypi.org/project/cpagym/">
<img src="https://raw.githubusercontent.com/accounting-intelligent-ai/cpagym/main/cpagym.png" width = "300" height = "300" alt="logo" align=center />
</a>
Redefining [Accounting](https://cpanlp.com/)!
Developed by **Bfsu Ai-Accounting Team** (c) 2023
[Github](https://github.com/accounting-intelligent-ai/cpagym)
[](https://pypi.org/project/cpagym/)
[](https://pepy.tech/project/cpagym)
## Install & Import 安装和导入
For detailed installation instructions, see the
[documentation](https://cpanlp.com/documentation).
```python
pip install cpagym
import gymnasium as gym
import cpagym as cg
import torch
```
## Accounting Envs 主要会计环境
### 1. Moral_Hazard 道德风险
#### Action Space
| Num | Action | Unit |
|-----|---------------------------------------|--------------|
| 0 | Discharge of duty | 0 |
| 1 | Due diligence | 1 |
#### Observation Space
The observation is a `ndarray` with shape `(6,)` that provides information about the
two rotational joint angles as well as their angular velocities:
| Num | Observation | Min | Max |
|-----|------------------------------|---------------------|-------------------|
| 0 | Project success rate | 0 | 1 |
| 1 | Project success return | 0 | 1 |
```python
env = gym.make("Moral_Hazard-v1")#Instantiate the Environment载入道德风险环境
state, info = env.reset(seed=2)#初始化
n_steps = 10
for _ in range(n_steps):
action = env.action_space.sample()#随机行动
state, reward, terminated, truncated, info = env.step(action)
print(observation, reward, terminated, truncated, info )
if terminated or truncated:
observation, info = env.reset()
```
## Accounting RL-Algorithm 会计强化学习算法
### 1. Train the Agent with DQN
#### Accounting RL-Agent 会计强化学习代理人
```python
agent=cg.Agent(state_size=1,action_size=2)#Instantiate the Agent载入会计智能体
env = gym.make("Moral_Hazard-v1")
state, info = env.reset(seed=2)
action = agent.act(state, eps)#最优化行动
next_state, reward, done, _,_ = env.step(action)
agent.step(state, action, reward, next_state, done)
print(agent.memory.memory)
```
## 配套智能会计包CPANLP
<a href="https://pypi.org/project/cpanlp/">
<img src="https://raw.githubusercontent.com/accounting-intelligent-ai/cpanlp/main/cpanlp.png" width = "320" height = "120" alt="logo" align=center />
</a>
Check out: https://cpanlp.com/reinforcement
