How to Create AI Agents: A Comprehensive Guide for Developers

1class SimpleAgent:
2    def __init__(self):
3        self.state = None
4
5    def perceive(self, environment):
6        self.state = environment
7
8    def act(self):
9        # Simple rule-based action
10        if self.state == "clean":
11            return "do nothing"
12        else:
13            return "clean"
14

1class SimpleAgent {
2  constructor() {
3    this.state = null;
4  }
5
6  perceive(environment) {
7    this.state = environment;
8  }
9
10  act() {
11    // Simple rule-based action
12    if (this.state === "clean") {
13      return "do nothing";
14    } else {
15      return "clean";
16    }
17  }
18}
19

1def train_agent(agent, environment, episodes):
2    for episode in range(episodes):
3        state = environment.reset()
4        done = False
5        while not done:
6            action = agent.act(state)
7            next_state, reward, done, _ = environment.step(action)
8            agent.learn(state, action, reward, next_state, done)
9            state = next_state
10        print(f"Episode {episode+1} completed")
11