actions = ['up', 'down', 'left', 'right'] Q表: Q表更新: 代码: import numpy as np import random # 定义网格世界的参数 grid_size = 5 # 网格的大小num_episodes= 1000 # 训练回合数 max_steps_per_episode = 100 # 每个回合的最大步数 learning_rate = 0.1 # 学习率 discount_factor = 0....
= N_STATES -1:q_target = reward + gamma * q_table.loc[new_state, :].max()else:q_target = rewardq_table.loc[state, cur_action] += alpha * (q_target - q_pred)state = new_stateupdate_env(state, epoch, step)step +=1returnq_tableq_learning() 参考 MorvanZhou/Reinforcement-learni...
Random random=newRandom();inti = random.nextInt(num) %num;returnyValues.get(i).getY(); }//Q(x,y) = R(x,y) + 0.8 * max(Q(y,i))publicintcalculateNewQ(intx,inty,intqy) {return(int) (R.get(x, y) + 0.8 *Q.get(y, qy)); }publicstaticclassYAndValueimplementsComparable<YAnd...
Q_learning代码实例-机器学习代码类资源He**ry 上传5.69 KB 文件格式 zip python Q_learning Q_learnning代码实例,是一个非常好的学习强化学习的例子,小方块走迷宫点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 vue3-tree-org 2025-01-03 02:46:05 积分:1 ...