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buffer.learn()
update_target(target_actor.variables, actor_model.variables, tau)
update_target(target_critic.variables, critic_model.variables, tau)
# End this episode when `done` is True
if done:
break
prev_state = state
ep_reward_list.append(episodic_reward)
# Mean of last 40 episodes
avg_reward = np.mean(ep_reward_list[-40:])
print(\"Episode * {} * Avg Reward is ==> {}\".format(ep, avg_reward))
avg_reward_list.append(avg_reward)
# Plotting graph
# Episodes versus Avg. Rewards
plt.plot(avg_reward_list)
plt.xlabel(\"Episode\")
plt.ylabel(\"Avg. Epsiodic Reward\")
plt.show()
Episode * 0 * Avg Reward is ==> -1269.3278950595395
Episode * 1 * Avg Reward is ==> -1528.3008939716287
Episode * 2 * Avg Reward is ==> -1511.1737868279706
Episode * 3 * Avg Reward is ==> -1512.8568141261057
Episode * 4 * Avg Reward is ==> -1386.054573343386
Episode * 5 * Avg Reward is ==> -1411.4818856846339
Episode * 6 * Avg Reward is ==> -1431.6790621961388
Episode * 7 * Avg Reward is ==> -1427.9515009474867
Episode * 8 * Avg Reward is ==> -1392.9313930075857
Episode * 9 * Avg Reward is ==> -1346.6839043846012
Episode * 10 * Avg Reward is ==> -1325.5818224096574
Episode * 11 * Avg Reward is ==> -1271.778361283553
Episode * 12 * Avg Reward is ==> -1194.0784354001732
Episode * 13 * Avg Reward is ==> -1137.1096928093427
Episode * 14 * Avg Reward is ==> -1087.2426176918214
Episode * 15 * Avg Reward is ==> -1043.5265287176114
Episode * 16 * Avg Reward is ==> -990.0857409180443
Episode * 17 * Avg Reward is ==> -949.0661362879348
Episode * 18 * Avg Reward is ==> -906.1744575963231
Episode * 19 * Avg Reward is ==> -914.0098344966382
Episode * 20 * Avg Reward is ==> -886.8905055354011
Episode * 21 * Avg Reward is ==> -859.3416389004793
Episode * 22 * Avg Reward is ==> -827.5405203616622
Episode * 23 * Avg Reward is ==> -798.3875178404127
Episode * 24 * Avg Reward is ==> -771.289491103158
Episode * 25 * Avg Reward is ==> -741.6622445749622
Episode * 26 * Avg Reward is ==> -727.7080867854874
Episode * 27 * Avg Reward is ==> -710.485046117201
Episode * 28 * Avg Reward is ==> -690.3850022530833
Episode * 29 * Avg Reward is ==> -671.3205042911178
Episode * 30 * Avg Reward is ==> -653.4475135842247
Episode * 31 * Avg Reward is ==> -637.0057392119055
Episode * 32 * Avg Reward is ==> -629.2474166794424
Episode * 33 * Avg Reward is ==> -614.4655398230501
Episode * 34 * Avg Reward is ==> -603.3854873345723
Episode * 35 * Avg Reward is ==> -589.86534490467
Episode * 36 * Avg Reward is ==> -577.1806480684269
Episode * 37 * Avg Reward is ==> -565.1365286280546
Episode * 38 * Avg Reward is ==> -550.6647028563134
Episode * 39 * Avg Reward is ==> -540.0095147571197
Episode * 40 * Avg Reward is ==> -517.3861294233157
Episode * 41 * Avg Reward is ==> -478.705352005952
Episode * 42 * Avg Reward is ==> -444.8350788756713
Episode * 43 * Avg Reward is ==> -409.85293165991334
Episode * 44 * Avg Reward is ==> -390.83984710631546
Episode * 45 * Avg Reward is ==> -360.88156865913675
Episode * 46 * Avg Reward is ==> -325.26685315168595
Episode * 47 * Avg Reward is ==> -290.2315644399411
Episode * 48 * Avg Reward is ==> -268.0351126010609
Episode * 49 * Avg Reward is ==> -247.8952699063706
Episode * 50 * Avg Reward is ==> -222.99123461788048
Episode * 51 * Avg Reward is ==> -209.0830401020491
Episode * 52 * Avg Reward is ==> -205.65143423678765
Episode * 53 * Avg Reward is ==> -201.8910585767988
Episode * 54 * Avg Reward is ==> -192.18560466037357
Episode * 55 * Avg Reward is ==> -189.43475813660137
Episode * 56 * Avg Reward is ==> -191.92700535454787
Episode * 57 * Avg Reward is ==> -188.5196218645745
Episode * 58 * Avg Reward is ==> -188.17872234729674
Episode * 59 * Avg Reward is ==> -167.33043921566485
Episode * 60 * Avg Reward is ==> -165.01361185173954
Episode * 61 * Avg Reward is ==> -164.5316658073024
Episode * 62 * Avg Reward is ==> -164.4025677076815
Episode * 63 * Avg Reward is ==> -167.27842005634784
Episode * 64 * Avg Reward is ==> -167.12049955654845
Episode * 65 * Avg Reward is ==> -170.02761731078783
Episode * 66 * Avg Reward is ==> -167.56039601863873
Episode * 67 * Avg Reward is ==> -164.60482495249738
Episode * 68 * Avg Reward is ==> -167.45278232469394
Episode * 69 * Avg Reward is ==> -167.42407364484592
Episode * 70 * Avg Reward is ==> -167.57794933965346
Episode * 71 * Avg Reward is ==> -170.6408611483338
Episode * 72 * Avg Reward is ==> -163.96954092530822
Episode * 73 * Avg Reward is ==> -160.82007525469245
Episode * 74 * Avg Reward is ==> -158.38239222565778
Episode * 75 * Avg Reward is ==> -158.3554729720654
Episode * 76 * Avg Reward is ==> -158.51036948298994