强化学习(Sarsa与q-learning)代码示例
2024-05-25 09:32:51
一、Sarsa算法
Sarsa算法是on-policy的，行为策略是什么，目标策略就是什么，即优化的是他实际执行的策略，所以使用Sarsa算法的agent在探索时显得有点“胆小”。
上Sarsa的代码：
import time
import numpy as np
import gym
class SarsaAgent(object):def __init__(self, obs_n, act_n, e_greed=0.1, gamma=0.9, learning_rate=0.01):self.act_n = act_nself.Q = np.zeros((obs_n, act_n))self.lr = learning_rateself.gamma = gammaself.epsilon = e_greeddef sample(self, obs):if np.random.uniform(0,1) > (1.0 - self.epsilon):action = np.random.choice(self.act_n)else:action = self.predict(obs)return actiondef predict(self, obs):Q_list = self.Q[obs, :]Qmax = np.max(Q_list)action_list = np.where(Q_list == Qmax)[0]action = np.random.choice(action_list)return actiondef learn(self, obs, action, next_obs, next_action, reward, done):predict_Q = self.Q[obs, action]if done:target_Q = rewardelse:target_Q = reward + self.gamma * self.Q[next_obs, next_action]self.Q[obs, action] += self.lr * (target_Q - predict_Q)def run_episode(env, agent, render=False):total_reward = 0total_steps = 0obs = env.reset()action = agent.sample(obs)while True:next_obs, reward, done, _ = env.step(action)next_action = agent.sample(next_obs)agent.learn(obs, action, next_obs, next_action, reward, done)total_reward += rewardtotal_steps += 1obs = next_obsaction = next_actionif render:env.render()if done:breakreturn total_reward, total_stepsdef test_episode(env, agent):total_reward = 0# total_steps = 0obs = env.reset()while True:action = agent.predict(obs)next_obs, reward, done, _ = env.step(action)next_action = agent.predict(next_obs)total_reward += rewardobs = next_obstime.sleep(0.5)env.render()if done:breakreturn total_rewardenv = gym.make('CliffWalking-v0')
agent = SarsaAgent(obs_n=env.observation_space.n,act_n=env.action_space.n,learning_rate=0.1,gamma=0.9,e_greed=0.1)
for episode in range(500):ep_reward, ep_step = run_episode(env, agent, False)print("episode:{}, step:{}, reward:{}".format(episode, ep_step, ep_reward))test_reward = test_episode(env, agent)
print("test_reward:{}".format(test_reward))结果：agent在前往终点的路途上，会远远的绕过陷阱
episode:0, step:63, reward:-261
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o C C C C C C C C C C xtest_reward:-15二、Q-learning算法：
off-policy，在探索环境时会显得比Sarsa更加大胆，行为策略与目标策略分离
上代码：
class Qagent():def __init__(self, act_n, obs_n, learning_rate=0.01, gamma=0.9, e_greed=0.1):self.act_n = act_nself.lr = learning_rateself.gamma = gammaself.epsilon = e_greedself.Q = np.zeros((obs_n,act_n))def sample(self, obs):if np.random.uniform(0,1) < (1.0 - self.epsilon):action = self.predict(obs)else:action = np.random.choice(self.act_n)return actiondef predict(self, obs):Q_list = self.Q[obs, :]maxQ = max(Q_list)action_list = np.where(Q_list == maxQ)[0]action = np.random.choice(action_list)return actiondef learn(self, obs, action, reward, next_obs, done):predict_Q = self.Q[obs, action]if done:target_Q = rewardelse:target_Q = reward + self.gamma * np.max(self.Q[next_obs, :])self.Q[obs, action] += self.lr * (target_Q - predict_Q)def save(self):npy_file = './q_table.npy'np.save(npy_file, self.Q)print(npy_file + ' saved.')def restore(self, npy_file='./q_table.npy'):self.Q = np.load(npy_file)print(npy_file + ' loaded.')def run_episode(env, agent, render=False):total_steps = 0total_reward = 0obs = env.reset()while True:action = agent.sample(obs)next_obs, reward, done, _ = env.step(action)agent.learn(obs, action, reward, next_obs, done)obs = next_obstotal_reward += rewardtotal_steps += 1if render:env.render()if done:breakreturn total_reward, total_stepsdef test_episode(env, agent):total_reward = 0obs = env.reset()while True:action = agent.predict(obs)next_obs, reward, done, _ = env.step(action)total_reward += rewardobs = next_obstime.sleep(0.5)env.render()if done:breakreturn total_rewardenv = gym.make('CliffWalking-v0')agent = Qagent(obs_n=env.observation_space.n,act_n=env.action_space.n,learning_rate=0.1,gamma=0.9,e_greed=0.1)for episode in range(500):ep_reward, ep_steps = run_episode(env, agent, False)print('Episode %s: step = %s , reward= %.1f' % (episode, ep_steps, ep_reward))test_reward = test_episode(env, agent)
print('test reward = %.1f' % (test_reward))输出：可以明显的看出，Q-learning的agent是贴着陷阱走的，非常大胆，最后的效果也很好
Episode 0: step = 674 , reward= -2060.0
Episode 1: step = 272 , reward= -371.0
Episode 2: step = 305 , reward= -404.0
Episode 3: step = 199 , reward= -496.0
Episode 4: step = 388 , reward= -685.0
Episode 5: step = 111 , reward= -210.0
Episode 6: step = 207 , reward= -405.0
Episode 7: step = 90 , reward= -189.0
Episode 8: step = 189 , reward= -189.0
Episode 9: step = 177 , reward= -375.0
Episode 10: step = 67 , reward= -67.0
Episode 11: step = 157 , reward= -157.0
Episode 12: step = 148 , reward= -247.0
Episode 13: step = 69 , reward= -168.0
Episode 14: step = 137 , reward= -137.0
Episode 15: step = 149 , reward= -149.0
Episode 16: step = 59 , reward= -59.0
Episode 17: step = 148 , reward= -445.0
Episode 18: step = 110 , reward= -110.0
Episode 19: step = 131 , reward= -230.0
Episode 20: step = 85 , reward= -85.0
Episode 21: step = 70 , reward= -70.0
Episode 22: step = 57 , reward= -57.0
Episode 23: step = 129 , reward= -228.0
Episode 24: step = 89 , reward= -89.0
Episode 25: step = 247 , reward= -643.0
Episode 26: step = 82 , reward= -82.0
Episode 27: step = 91 , reward= -91.0
Episode 28: step = 66 , reward= -66.0
Episode 29: step = 47 , reward= -47.0
Episode 30: step = 55 , reward= -55.0
Episode 31: step = 93 , reward= -93.0
Episode 32: step = 78 , reward= -78.0
Episode 33: step = 54 , reward= -54.0
Episode 34: step = 169 , reward= -367.0
Episode 35: step = 119 , reward= -317.0
Episode 36: step = 33 , reward= -33.0
Episode 37: step = 32 , reward= -32.0
Episode 38: step = 82 , reward= -82.0
Episode 39: step = 123 , reward= -123.0
Episode 40: step = 34 , reward= -34.0
Episode 41: step = 54 , reward= -54.0
Episode 42: step = 55 , reward= -55.0
Episode 43: step = 76 , reward= -175.0
Episode 44: step = 38 , reward= -38.0
Episode 45: step = 81 , reward= -81.0
Episode 46: step = 75 , reward= -273.0
Episode 47: step = 54 , reward= -54.0
Episode 48: step = 56 , reward= -56.0
Episode 49: step = 76 , reward= -373.0
Episode 50: step = 58 , reward= -58.0
Episode 51: step = 57 , reward= -255.0
Episode 52: step = 95 , reward= -95.0
Episode 53: step = 41 , reward= -140.0
Episode 54: step = 44 , reward= -44.0
Episode 55: step = 75 , reward= -75.0
Episode 56: step = 32 , reward= -32.0
Episode 57: step = 59 , reward= -59.0
Episode 58: step = 21 , reward= -21.0
Episode 59: step = 109 , reward= -208.0
Episode 60: step = 54 , reward= -153.0
Episode 61: step = 46 , reward= -145.0
Episode 62: step = 38 , reward= -38.0
Episode 63: step = 57 , reward= -156.0
Episode 64: step = 48 , reward= -48.0
Episode 65: step = 39 , reward= -39.0
Episode 66: step = 50 , reward= -50.0
Episode 67: step = 47 , reward= -47.0
Episode 68: step = 119 , reward= -218.0
Episode 69: step = 42 , reward= -42.0
Episode 70: step = 84 , reward= -282.0
Episode 71: step = 22 , reward= -22.0
Episode 72: step = 36 , reward= -36.0
Episode 73: step = 59 , reward= -59.0
Episode 74: step = 31 , reward= -31.0
Episode 75: step = 57 , reward= -57.0
Episode 76: step = 44 , reward= -143.0
Episode 77: step = 42 , reward= -42.0
Episode 78: step = 43 , reward= -43.0
Episode 79: step = 50 , reward= -50.0
Episode 80: step = 26 , reward= -26.0
Episode 81: step = 46 , reward= -46.0
Episode 82: step = 42 , reward= -42.0
Episode 83: step = 36 , reward= -135.0
Episode 84: step = 41 , reward= -41.0
Episode 85: step = 26 , reward= -26.0
Episode 86: step = 79 , reward= -178.0
Episode 87: step = 42 , reward= -42.0
Episode 88: step = 37 , reward= -136.0
Episode 89: step = 102 , reward= -399.0
Episode 90: step = 41 , reward= -41.0
Episode 91: step = 36 , reward= -135.0
Episode 92: step = 44 , reward= -143.0
Episode 93: step = 46 , reward= -46.0
Episode 94: step = 39 , reward= -39.0
Episode 95: step = 30 , reward= -30.0
Episode 96: step = 36 , reward= -135.0
Episode 97: step = 33 , reward= -33.0
Episode 98: step = 46 , reward= -46.0
Episode 99: step = 55 , reward= -154.0
Episode 100: step = 34 , reward= -34.0
Episode 101: step = 36 , reward= -36.0
Episode 102: step = 43 , reward= -43.0
Episode 103: step = 49 , reward= -49.0
Episode 104: step = 77 , reward= -275.0
Episode 105: step = 62 , reward= -557.0
Episode 106: step = 55 , reward= -154.0
Episode 107: step = 24 , reward= -24.0
Episode 108: step = 36 , reward= -36.0
Episode 109: step = 39 , reward= -39.0
Episode 110: step = 40 , reward= -40.0
Episode 111: step = 34 , reward= -34.0
Episode 112: step = 25 , reward= -25.0
Episode 113: step = 31 , reward= -31.0
Episode 114: step = 34 , reward= -34.0
Episode 115: step = 36 , reward= -36.0
Episode 116: step = 27 , reward= -27.0
Episode 117: step = 32 , reward= -32.0
Episode 118: step = 17 , reward= -17.0
Episode 119: step = 24 , reward= -123.0
Episode 120: step = 48 , reward= -48.0
Episode 121: step = 51 , reward= -249.0
Episode 122: step = 28 , reward= -28.0
Episode 123: step = 38 , reward= -38.0
Episode 124: step = 38 , reward= -137.0
Episode 125: step = 33 , reward= -33.0
Episode 126: step = 19 , reward= -19.0
Episode 127: step = 49 , reward= -148.0
Episode 128: step = 44 , reward= -44.0
Episode 129: step = 62 , reward= -161.0
Episode 130: step = 47 , reward= -146.0
Episode 131: step = 38 , reward= -137.0
Episode 132: step = 22 , reward= -22.0
Episode 133: step = 45 , reward= -243.0
Episode 134: step = 28 , reward= -28.0
Episode 135: step = 56 , reward= -155.0
Episode 136: step = 24 , reward= -24.0
Episode 137: step = 24 , reward= -24.0
Episode 138: step = 23 , reward= -23.0
Episode 139: step = 17 , reward= -17.0
Episode 140: step = 33 , reward= -33.0
Episode 141: step = 22 , reward= -22.0
Episode 142: step = 36 , reward= -135.0
Episode 143: step = 32 , reward= -32.0
Episode 144: step = 32 , reward= -32.0
Episode 145: step = 26 , reward= -26.0
Episode 146: step = 47 , reward= -146.0
Episode 147: step = 49 , reward= -148.0
Episode 148: step = 21 , reward= -21.0
Episode 149: step = 36 , reward= -36.0
Episode 150: step = 42 , reward= -240.0
Episode 151: step = 27 , reward= -126.0
Episode 152: step = 18 , reward= -18.0
Episode 153: step = 39 , reward= -138.0
Episode 154: step = 21 , reward= -120.0
Episode 155: step = 33 , reward= -33.0
Episode 156: step = 34 , reward= -34.0
Episode 157: step = 30 , reward= -30.0
Episode 158: step = 21 , reward= -120.0
Episode 159: step = 29 , reward= -29.0
Episode 160: step = 25 , reward= -25.0
Episode 161: step = 29 , reward= -29.0
Episode 162: step = 22 , reward= -22.0
Episode 163: step = 38 , reward= -38.0
Episode 164: step = 29 , reward= -128.0
Episode 165: step = 27 , reward= -27.0
Episode 166: step = 14 , reward= -14.0
Episode 167: step = 31 , reward= -31.0
Episode 168: step = 27 , reward= -27.0
Episode 169: step = 24 , reward= -24.0
Episode 170: step = 69 , reward= -267.0
Episode 171: step = 19 , reward= -19.0
Episode 172: step = 30 , reward= -30.0
Episode 173: step = 14 , reward= -113.0
Episode 174: step = 58 , reward= -157.0
Episode 175: step = 30 , reward= -129.0
Episode 176: step = 16 , reward= -16.0
Episode 177: step = 25 , reward= -25.0
Episode 178: step = 13 , reward= -13.0
Episode 179: step = 30 , reward= -30.0
Episode 180: step = 23 , reward= -23.0
Episode 181: step = 15 , reward= -15.0
Episode 182: step = 17 , reward= -17.0
Episode 183: step = 33 , reward= -132.0
Episode 184: step = 22 , reward= -22.0
Episode 185: step = 29 , reward= -128.0
Episode 186: step = 13 , reward= -13.0
Episode 187: step = 44 , reward= -143.0
Episode 188: step = 23 , reward= -23.0
Episode 189: step = 15 , reward= -15.0
Episode 190: step = 46 , reward= -145.0
Episode 191: step = 25 , reward= -25.0
Episode 192: step = 15 , reward= -15.0
Episode 193: step = 25 , reward= -124.0
Episode 194: step = 24 , reward= -24.0
Episode 195: step = 22 , reward= -22.0
Episode 196: step = 16 , reward= -16.0
Episode 197: step = 19 , reward= -19.0
Episode 198: step = 23 , reward= -122.0
Episode 199: step = 17 , reward= -17.0
Episode 200: step = 20 , reward= -20.0
Episode 201: step = 22 , reward= -22.0
Episode 202: step = 20 , reward= -20.0
Episode 203: step = 42 , reward= -141.0
Episode 204: step = 47 , reward= -146.0
Episode 205: step = 13 , reward= -13.0
Episode 206: step = 22 , reward= -121.0
Episode 207: step = 29 , reward= -29.0
Episode 208: step = 44 , reward= -242.0
Episode 209: step = 21 , reward= -21.0
Episode 210: step = 19 , reward= -19.0
Episode 211: step = 43 , reward= -142.0
Episode 212: step = 16 , reward= -115.0
Episode 213: step = 17 , reward= -17.0
Episode 214: step = 13 , reward= -13.0
Episode 215: step = 18 , reward= -18.0
Episode 216: step = 17 , reward= -116.0
Episode 217: step = 15 , reward= -15.0
Episode 218: step = 20 , reward= -20.0
Episode 219: step = 24 , reward= -24.0
Episode 220: step = 16 , reward= -16.0
Episode 221: step = 13 , reward= -13.0
Episode 222: step = 25 , reward= -25.0
Episode 223: step = 13 , reward= -13.0
Episode 224: step = 15 , reward= -15.0
Episode 225: step = 21 , reward= -21.0
Episode 226: step = 24 , reward= -24.0
Episode 227: step = 37 , reward= -235.0
Episode 228: step = 13 , reward= -13.0
Episode 229: step = 20 , reward= -20.0
Episode 230: step = 13 , reward= -13.0
Episode 231: step = 31 , reward= -130.0
Episode 232: step = 20 , reward= -20.0
Episode 233: step = 15 , reward= -15.0
Episode 234: step = 15 , reward= -15.0
Episode 235: step = 13 , reward= -13.0
Episode 236: step = 22 , reward= -22.0
Episode 237: step = 18 , reward= -117.0
Episode 238: step = 18 , reward= -18.0
Episode 239: step = 20 , reward= -20.0
Episode 240: step = 17 , reward= -17.0
Episode 241: step = 15 , reward= -15.0
Episode 242: step = 37 , reward= -37.0
Episode 243: step = 15 , reward= -15.0
Episode 244: step = 16 , reward= -16.0
Episode 245: step = 13 , reward= -13.0
Episode 246: step = 49 , reward= -148.0
Episode 247: step = 27 , reward= -27.0
Episode 248: step = 13 , reward= -13.0
Episode 249: step = 31 , reward= -130.0
Episode 250: step = 15 , reward= -15.0
Episode 251: step = 13 , reward= -13.0
Episode 252: step = 19 , reward= -118.0
Episode 253: step = 13 , reward= -13.0
Episode 254: step = 13 , reward= -13.0
Episode 255: step = 30 , reward= -129.0
Episode 256: step = 17 , reward= -17.0
Episode 257: step = 21 , reward= -21.0
Episode 258: step = 27 , reward= -126.0
Episode 259: step = 13 , reward= -13.0
Episode 260: step = 16 , reward= -115.0
Episode 261: step = 18 , reward= -18.0
Episode 262: step = 13 , reward= -13.0
Episode 263: step = 13 , reward= -13.0
Episode 264: step = 21 , reward= -21.0
Episode 265: step = 18 , reward= -18.0
Episode 266: step = 15 , reward= -15.0
Episode 267: step = 13 , reward= -13.0
Episode 268: step = 15 , reward= -15.0
Episode 269: step = 14 , reward= -14.0
Episode 270: step = 21 , reward= -21.0
Episode 271: step = 13 , reward= -13.0
Episode 272: step = 24 , reward= -24.0
Episode 273: step = 17 , reward= -116.0
Episode 274: step = 13 , reward= -13.0
Episode 275: step = 39 , reward= -237.0
Episode 276: step = 15 , reward= -15.0
Episode 277: step = 18 , reward= -117.0
Episode 278: step = 20 , reward= -218.0
Episode 279: step = 13 , reward= -13.0
Episode 280: step = 15 , reward= -15.0
Episode 281: step = 17 , reward= -17.0
Episode 282: step = 13 , reward= -13.0
Episode 283: step = 15 , reward= -15.0
Episode 284: step = 13 , reward= -13.0
Episode 285: step = 24 , reward= -123.0
Episode 286: step = 34 , reward= -34.0
Episode 287: step = 13 , reward= -13.0
Episode 288: step = 20 , reward= -119.0
Episode 289: step = 13 , reward= -13.0
Episode 290: step = 14 , reward= -14.0
Episode 291: step = 15 , reward= -15.0
Episode 292: step = 15 , reward= -15.0
Episode 293: step = 13 , reward= -13.0
Episode 294: step = 13 , reward= -13.0
Episode 295: step = 28 , reward= -28.0
Episode 296: step = 19 , reward= -118.0
Episode 297: step = 24 , reward= -222.0
Episode 298: step = 13 , reward= -13.0
Episode 299: step = 22 , reward= -220.0
Episode 300: step = 22 , reward= -121.0
Episode 301: step = 15 , reward= -15.0
Episode 302: step = 13 , reward= -13.0
Episode 303: step = 40 , reward= -337.0
Episode 304: step = 15 , reward= -15.0
Episode 305: step = 13 , reward= -13.0
Episode 306: step = 21 , reward= -21.0
Episode 307: step = 14 , reward= -14.0
Episode 308: step = 28 , reward= -127.0
Episode 309: step = 16 , reward= -115.0
Episode 310: step = 24 , reward= -123.0
Episode 311: step = 21 , reward= -120.0
Episode 312: step = 15 , reward= -15.0
Episode 313: step = 34 , reward= -232.0
Episode 314: step = 13 , reward= -13.0
Episode 315: step = 23 , reward= -23.0
Episode 316: step = 17 , reward= -116.0
Episode 317: step = 13 , reward= -13.0
Episode 318: step = 31 , reward= -328.0
Episode 319: step = 15 , reward= -15.0
Episode 320: step = 13 , reward= -13.0
Episode 321: step = 30 , reward= -228.0
Episode 322: step = 13 , reward= -13.0
Episode 323: step = 13 , reward= -13.0
Episode 324: step = 13 , reward= -13.0
Episode 325: step = 37 , reward= -334.0
Episode 326: step = 15 , reward= -15.0
Episode 327: step = 15 , reward= -15.0
Episode 328: step = 13 , reward= -13.0
Episode 329: step = 13 , reward= -13.0
Episode 330: step = 15 , reward= -15.0
Episode 331: step = 13 , reward= -13.0
Episode 332: step = 22 , reward= -121.0
Episode 333: step = 13 , reward= -13.0
Episode 334: step = 15 , reward= -15.0
Episode 335: step = 13 , reward= -13.0
Episode 336: step = 13 , reward= -13.0
Episode 337: step = 15 , reward= -15.0
Episode 338: step = 19 , reward= -19.0
Episode 339: step = 26 , reward= -125.0
Episode 340: step = 13 , reward= -13.0
Episode 341: step = 14 , reward= -113.0
Episode 342: step = 15 , reward= -15.0
Episode 343: step = 13 , reward= -13.0
Episode 344: step = 19 , reward= -19.0
Episode 345: step = 32 , reward= -230.0
Episode 346: step = 13 , reward= -13.0
Episode 347: step = 15 , reward= -15.0
Episode 348: step = 15 , reward= -15.0
Episode 349: step = 18 , reward= -117.0
Episode 350: step = 13 , reward= -13.0
Episode 351: step = 13 , reward= -13.0
Episode 352: step = 13 , reward= -13.0
Episode 353: step = 13 , reward= -13.0
Episode 354: step = 13 , reward= -13.0
Episode 355: step = 13 , reward= -13.0
Episode 356: step = 13 , reward= -13.0
Episode 357: step = 20 , reward= -119.0
Episode 358: step = 15 , reward= -15.0
Episode 359: step = 18 , reward= -117.0
Episode 360: step = 15 , reward= -15.0
Episode 361: step = 17 , reward= -17.0
Episode 362: step = 13 , reward= -13.0
Episode 363: step = 18 , reward= -18.0
Episode 364: step = 20 , reward= -119.0
Episode 365: step = 13 , reward= -13.0
Episode 366: step = 18 , reward= -117.0
Episode 367: step = 13 , reward= -13.0
Episode 368: step = 13 , reward= -13.0
Episode 369: step = 30 , reward= -228.0
Episode 370: step = 28 , reward= -226.0
Episode 371: step = 17 , reward= -17.0
Episode 372: step = 13 , reward= -13.0
Episode 373: step = 17 , reward= -17.0
Episode 374: step = 13 , reward= -13.0
Episode 375: step = 13 , reward= -13.0
Episode 376: step = 16 , reward= -115.0
Episode 377: step = 14 , reward= -14.0
Episode 378: step = 14 , reward= -14.0
Episode 379: step = 13 , reward= -13.0
Episode 380: step = 15 , reward= -15.0
Episode 381: step = 14 , reward= -14.0
Episode 382: step = 16 , reward= -16.0
Episode 383: step = 19 , reward= -19.0
Episode 384: step = 33 , reward= -231.0
Episode 385: step = 17 , reward= -17.0
Episode 386: step = 13 , reward= -13.0
Episode 387: step = 21 , reward= -120.0
Episode 388: step = 30 , reward= -129.0
Episode 389: step = 13 , reward= -13.0
Episode 390: step = 19 , reward= -19.0
Episode 391: step = 13 , reward= -13.0
Episode 392: step = 23 , reward= -122.0
Episode 393: step = 13 , reward= -13.0
Episode 394: step = 19 , reward= -19.0
Episode 395: step = 13 , reward= -13.0
Episode 396: step = 13 , reward= -13.0
Episode 397: step = 13 , reward= -13.0
Episode 398: step = 13 , reward= -13.0
Episode 399: step = 16 , reward= -115.0
Episode 400: step = 26 , reward= -125.0
Episode 401: step = 20 , reward= -119.0
Episode 402: step = 13 , reward= -13.0
Episode 403: step = 15 , reward= -15.0
Episode 404: step = 25 , reward= -124.0
Episode 405: step = 19 , reward= -19.0
Episode 406: step = 23 , reward= -221.0
Episode 407: step = 13 , reward= -13.0
Episode 408: step = 17 , reward= -116.0
Episode 409: step = 13 , reward= -13.0
Episode 410: step = 15 , reward= -15.0
Episode 411: step = 17 , reward= -17.0
Episode 412: step = 13 , reward= -13.0
Episode 413: step = 13 , reward= -13.0
Episode 414: step = 16 , reward= -115.0
Episode 415: step = 18 , reward= -117.0
Episode 416: step = 15 , reward= -15.0
Episode 417: step = 15 , reward= -15.0
Episode 418: step = 13 , reward= -13.0
Episode 419: step = 14 , reward= -14.0
Episode 420: step = 16 , reward= -16.0
Episode 421: step = 13 , reward= -13.0
Episode 422: step = 13 , reward= -13.0
Episode 423: step = 13 , reward= -13.0
Episode 424: step = 17 , reward= -17.0
Episode 425: step = 33 , reward= -33.0
Episode 426: step = 14 , reward= -14.0
Episode 427: step = 18 , reward= -117.0
Episode 428: step = 28 , reward= -127.0
Episode 429: step = 15 , reward= -15.0
Episode 430: step = 15 , reward= -15.0
Episode 431: step = 14 , reward= -14.0
Episode 432: step = 15 , reward= -15.0
Episode 433: step = 13 , reward= -13.0
Episode 434: step = 22 , reward= -22.0
Episode 435: step = 14 , reward= -14.0
Episode 436: step = 17 , reward= -17.0
Episode 437: step = 25 , reward= -25.0
Episode 438: step = 17 , reward= -17.0
Episode 439: step = 24 , reward= -123.0
Episode 440: step = 29 , reward= -128.0
Episode 441: step = 21 , reward= -120.0
Episode 442: step = 32 , reward= -131.0
Episode 443: step = 13 , reward= -13.0
Episode 444: step = 18 , reward= -117.0
Episode 445: step = 13 , reward= -13.0
Episode 446: step = 13 , reward= -13.0
Episode 447: step = 13 , reward= -13.0
Episode 448: step = 16 , reward= -16.0
Episode 449: step = 13 , reward= -13.0
Episode 450: step = 19 , reward= -118.0
Episode 451: step = 23 , reward= -23.0
Episode 452: step = 15 , reward= -15.0
Episode 453: step = 21 , reward= -120.0
Episode 454: step = 23 , reward= -23.0
Episode 455: step = 15 , reward= -15.0
Episode 456: step = 25 , reward= -124.0
Episode 457: step = 13 , reward= -13.0
Episode 458: step = 25 , reward= -322.0
Episode 459: step = 25 , reward= -124.0
Episode 460: step = 13 , reward= -13.0
Episode 461: step = 21 , reward= -120.0
Episode 462: step = 17 , reward= -17.0
Episode 463: step = 13 , reward= -13.0
Episode 464: step = 13 , reward= -13.0
Episode 465: step = 17 , reward= -17.0
Episode 466: step = 15 , reward= -15.0
Episode 467: step = 26 , reward= -125.0
Episode 468: step = 17 , reward= -116.0
Episode 469: step = 28 , reward= -28.0
Episode 470: step = 15 , reward= -15.0
Episode 471: step = 13 , reward= -13.0
Episode 472: step = 13 , reward= -13.0
Episode 473: step = 15 , reward= -15.0
Episode 474: step = 13 , reward= -13.0
Episode 475: step = 13 , reward= -13.0
Episode 476: step = 17 , reward= -17.0
Episode 477: step = 13 , reward= -13.0
Episode 478: step = 13 , reward= -13.0
Episode 479: step = 13 , reward= -13.0
Episode 480: step = 22 , reward= -121.0
Episode 481: step = 21 , reward= -120.0
Episode 482: step = 27 , reward= -126.0
Episode 483: step = 19 , reward= -19.0
Episode 484: step = 15 , reward= -15.0
Episode 485: step = 30 , reward= -525.0
Episode 486: step = 15 , reward= -15.0
Episode 487: step = 14 , reward= -14.0
Episode 488: step = 15 , reward= -15.0
Episode 489: step = 16 , reward= -16.0
Episode 490: step = 17 , reward= -17.0
Episode 491: step = 15 , reward= -15.0
Episode 492: step = 13 , reward= -13.0
Episode 493: step = 32 , reward= -131.0
Episode 494: step = 13 , reward= -13.0
Episode 495: step = 15 , reward= -15.0
Episode 496: step = 15 , reward= -15.0
Episode 497: step = 26 , reward= -125.0
Episode 498: step = 13 , reward= -13.0
Episode 499: step = 14 , reward= -14.0
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o C C C C C C C C C C To o o o o o o o o o o o
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o C C C C C C C C C C To o o o o o o o o o o o
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o C C C C C C C C C C To o o o o o o o o o o o
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o C C C C C C C C C C To o o o o o o o o o o o
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o C C C C C C C C C C xtest reward = -13.0强化学习(Sarsa与q-learning)代码示例相关推荐
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