A3C 算法的简单实现(ChatGPT)

import gym
import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import Dense, Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
import threading
import multiprocessing
import os

# 定义Actor-Critic模型
class ActorCriticModel(tf.keras.Model):
    def __init__(self, state_size, action_size):
        super(ActorCriticModel, self).__init__()
        self.state_size = state_size
        self.action_size = action_size

        self.dense1 = Dense(128, activation='relu')  # 第一个隐藏层
        self.policy_logits = Dense(action_size)     # 输出动作概率的层
        self.dense2 = Dense(128, activation='relu')  # 第二个隐藏层
        self.values = Dense(1)                      # 输出状态值的层

    def call(self, inputs):
        x = self.dense1(inputs)
        logits = self.policy_logits(x)  # 计算动作概率
        v = self.dense2(inputs)
        values = self.values(v)