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noisy-train.log
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consultant happiness sample
0.9552547902637019
consultant income sample
80.3838018958175
consumption happiness sample
1.2620189264165076
wellfare independence happiness sample
1.5
========== happinize-v1 ==========
Seed: 22
Default hyperparameters for environment (ones being tuned will be overridden):
OrderedDict([('gamma', 0.98),
('learning_rate', 0.001),
('n_timesteps', 30000),
('noise_std', 0.2),
('noise_type', 'normal'),
('policy', 'MlpPolicy'),
('policy_kwargs', {'net_arch': [32, 32]}),
('train_freq', [1, 'episode'])])
Using 1 environments
Overwriting n_timesteps with n=1000000
Creating test environment
Applying normal noise with std 0.2
Loading pretrained agent
Log path: logs/td3/happinize-v1_15
Eval num_timesteps=20000, episode_reward=361.47 +/- 84.89
Episode length: 43.26 +/- 9.79
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 361 |
| time/ | |
| total_timesteps | 20000 |
| train/ | |
| actor_loss | -138 |
| critic_loss | 194 |
| learning_rate | 0.001 |
| n_updates | 2759898 |
---------------------------------
New best mean reward!
Eval num_timesteps=40000, episode_reward=364.79 +/- 85.44
Episode length: 43.51 +/- 9.80
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 365 |
| time/ | |
| total_timesteps | 40000 |
| train/ | |
| actor_loss | -144 |
| critic_loss | 184 |
| learning_rate | 0.001 |
| n_updates | 2779907 |
---------------------------------
New best mean reward!
Eval num_timesteps=60000, episode_reward=363.96 +/- 84.69
Episode length: 43.45 +/- 9.70
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 364 |
| time/ | |
| total_timesteps | 60000 |
| train/ | |
| actor_loss | -145 |
| critic_loss | 221 |
| learning_rate | 0.001 |
| n_updates | 2799896 |
---------------------------------
Eval num_timesteps=80000, episode_reward=362.01 +/- 84.74
Episode length: 43.25 +/- 9.76
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 362 |
| time/ | |
| total_timesteps | 80000 |
| train/ | |
| actor_loss | -147 |
| critic_loss | 114 |
| learning_rate | 0.001 |
| n_updates | 2819907 |
---------------------------------
Eval num_timesteps=100000, episode_reward=361.79 +/- 87.25
Episode length: 43.25 +/- 10.01
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 362 |
| time/ | |
| total_timesteps | 100000 |
| train/ | |
| actor_loss | -141 |
| critic_loss | 204 |
| learning_rate | 0.001 |
| n_updates | 2839934 |
---------------------------------
Eval num_timesteps=120000, episode_reward=360.65 +/- 85.02
Episode length: 43.27 +/- 9.95
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 361 |
| time/ | |
| total_timesteps | 120000 |
| train/ | |
| actor_loss | -148 |
| critic_loss | 162 |
| learning_rate | 0.001 |
| n_updates | 2859928 |
---------------------------------
Eval num_timesteps=140000, episode_reward=361.97 +/- 85.73
Episode length: 43.37 +/- 9.81
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 362 |
| time/ | |
| total_timesteps | 140000 |
| train/ | |
| actor_loss | -148 |
| critic_loss | 202 |
| learning_rate | 0.001 |
| n_updates | 2879917 |
---------------------------------
Eval num_timesteps=160000, episode_reward=362.83 +/- 85.16
Episode length: 43.36 +/- 9.84
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 363 |
| time/ | |
| total_timesteps | 160000 |
| train/ | |
| actor_loss | -147 |
| critic_loss | 192 |
| learning_rate | 0.001 |
| n_updates | 2899893 |
---------------------------------
Eval num_timesteps=180000, episode_reward=361.66 +/- 82.92
Episode length: 43.38 +/- 9.80
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 362 |
| time/ | |
| total_timesteps | 180000 |
| train/ | |
| actor_loss | -146 |
| critic_loss | 251 |
| learning_rate | 0.001 |
| n_updates | 2919895 |
---------------------------------
Eval num_timesteps=200000, episode_reward=360.27 +/- 86.71
Episode length: 43.13 +/- 9.97
---------------------------------
| eval/ | |
| mean_ep_length | 43.1 |
| mean_reward | 360 |
| time/ | |
| total_timesteps | 200000 |
| train/ | |
| actor_loss | -148 |
| critic_loss | 180 |
| learning_rate | 0.001 |
| n_updates | 2939908 |
---------------------------------
Eval num_timesteps=220000, episode_reward=361.45 +/- 84.82
Episode length: 43.51 +/- 9.79
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 361 |
| time/ | |
| total_timesteps | 220000 |
| train/ | |
| actor_loss | -150 |
| critic_loss | 144 |
| learning_rate | 0.001 |
| n_updates | 2959912 |
---------------------------------
Eval num_timesteps=240000, episode_reward=359.85 +/- 86.87
Episode length: 43.34 +/- 10.02
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 360 |
| time/ | |
| total_timesteps | 240000 |
| train/ | |
| actor_loss | -149 |
| critic_loss | 270 |
| learning_rate | 0.001 |
| n_updates | 2979934 |
---------------------------------
Eval num_timesteps=260000, episode_reward=360.30 +/- 83.53
Episode length: 43.41 +/- 9.58
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 360 |
| time/ | |
| total_timesteps | 260000 |
| train/ | |
| actor_loss | -148 |
| critic_loss | 208 |
| learning_rate | 0.001 |
| n_updates | 2999918 |
---------------------------------
Eval num_timesteps=280000, episode_reward=362.18 +/- 83.46
Episode length: 43.41 +/- 9.60
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 362 |
| time/ | |
| total_timesteps | 280000 |
| train/ | |
| actor_loss | -148 |
| critic_loss | 234 |
| learning_rate | 0.001 |
| n_updates | 3019914 |
---------------------------------
Eval num_timesteps=300000, episode_reward=361.75 +/- 84.26
Episode length: 43.46 +/- 9.68
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 362 |
| time/ | |
| total_timesteps | 300000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 271 |
| learning_rate | 0.001 |
| n_updates | 3039917 |
---------------------------------
Eval num_timesteps=320000, episode_reward=359.39 +/- 84.92
Episode length: 43.32 +/- 9.73
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 359 |
| time/ | |
| total_timesteps | 320000 |
| train/ | |
| actor_loss | -150 |
| critic_loss | 202 |
| learning_rate | 0.001 |
| n_updates | 3059928 |
---------------------------------
Eval num_timesteps=340000, episode_reward=413.78 +/- 86.11
Episode length: 43.48 +/- 9.71
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 414 |
| time/ | |
| total_timesteps | 340000 |
| train/ | |
| actor_loss | -150 |
| critic_loss | 159 |
| learning_rate | 0.001 |
| n_updates | 3079931 |
---------------------------------
New best mean reward!
Eval num_timesteps=360000, episode_reward=410.41 +/- 86.59
Episode length: 43.46 +/- 9.67
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 410 |
| time/ | |
| total_timesteps | 360000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 253 |
| learning_rate | 0.001 |
| n_updates | 3099924 |
---------------------------------
Eval num_timesteps=380000, episode_reward=403.54 +/- 88.88
Episode length: 43.19 +/- 9.95
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 404 |
| time/ | |
| total_timesteps | 380000 |
| train/ | |
| actor_loss | -153 |
| critic_loss | 186 |
| learning_rate | 0.001 |
| n_updates | 3119918 |
---------------------------------
Eval num_timesteps=400000, episode_reward=412.12 +/- 89.00
Episode length: 43.42 +/- 9.95
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 412 |
| time/ | |
| total_timesteps | 400000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 197 |
| learning_rate | 0.001 |
| n_updates | 3139933 |
---------------------------------
Eval num_timesteps=420000, episode_reward=411.20 +/- 87.15
Episode length: 43.23 +/- 9.76
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 411 |
| time/ | |
| total_timesteps | 420000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 208 |
| learning_rate | 0.001 |
| n_updates | 3159893 |
---------------------------------
---------------------------------
| rollout/ | |
| ep_len_mean | 43.1 |
| ep_rew_mean | 385 |
| time/ | |
| episodes | 10000 |
| fps | 20 |
| time_elapsed | 21346 |
| total_timesteps | 432986 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 240 |
| learning_rate | 0.001 |
| n_updates | 3172878 |
---------------------------------
Eval num_timesteps=440000, episode_reward=409.97 +/- 87.72
Episode length: 43.15 +/- 9.77
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 410 |
| time/ | |
| total_timesteps | 440000 |
| train/ | |
| actor_loss | -150 |
| critic_loss | 270 |
| learning_rate | 0.001 |
| n_updates | 3179885 |
---------------------------------
Eval num_timesteps=460000, episode_reward=413.68 +/- 87.94
Episode length: 43.36 +/- 9.79
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 414 |
| time/ | |
| total_timesteps | 460000 |
| train/ | |
| actor_loss | -150 |
| critic_loss | 198 |
| learning_rate | 0.001 |
| n_updates | 3199915 |
---------------------------------
Eval num_timesteps=480000, episode_reward=413.46 +/- 88.32
Episode length: 43.56 +/- 9.80
---------------------------------
| eval/ | |
| mean_ep_length | 43.6 |
| mean_reward | 413 |
| time/ | |
| total_timesteps | 480000 |
| train/ | |
| actor_loss | -153 |
| critic_loss | 205 |
| learning_rate | 0.001 |
| n_updates | 3219890 |
---------------------------------
Eval num_timesteps=500000, episode_reward=409.20 +/- 87.32
Episode length: 43.14 +/- 9.69
---------------------------------
| eval/ | |
| mean_ep_length | 43.1 |
| mean_reward | 409 |
| time/ | |
| total_timesteps | 500000 |
| train/ | |
| actor_loss | -155 |
| critic_loss | 238 |
| learning_rate | 0.001 |
| n_updates | 3239930 |
---------------------------------
Eval num_timesteps=520000, episode_reward=412.41 +/- 87.24
Episode length: 43.37 +/- 9.67
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 412 |
| time/ | |
| total_timesteps | 520000 |
| train/ | |
| actor_loss | -154 |
| critic_loss | 177 |
| learning_rate | 0.001 |
| n_updates | 3259915 |
---------------------------------
Eval num_timesteps=540000, episode_reward=399.40 +/- 88.84
Episode length: 43.60 +/- 9.72
---------------------------------
| eval/ | |
| mean_ep_length | 43.6 |
| mean_reward | 399 |
| time/ | |
| total_timesteps | 540000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 170 |
| learning_rate | 0.001 |
| n_updates | 3279893 |
---------------------------------
Eval num_timesteps=560000, episode_reward=408.27 +/- 85.79
Episode length: 43.19 +/- 9.74
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 408 |
| time/ | |
| total_timesteps | 560000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 207 |
| learning_rate | 0.001 |
| n_updates | 3299921 |
---------------------------------
Eval num_timesteps=580000, episode_reward=407.92 +/- 87.22
Episode length: 42.98 +/- 10.00
---------------------------------
| eval/ | |
| mean_ep_length | 43 |
| mean_reward | 408 |
| time/ | |
| total_timesteps | 580000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 193 |
| learning_rate | 0.001 |
| n_updates | 3319891 |
---------------------------------
Eval num_timesteps=600000, episode_reward=418.22 +/- 87.21
Episode length: 43.50 +/- 9.76
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 418 |
| time/ | |
| total_timesteps | 600000 |
| train/ | |
| actor_loss | -147 |
| critic_loss | 226 |
| learning_rate | 0.001 |
| n_updates | 3339916 |
---------------------------------
New best mean reward!
Eval num_timesteps=620000, episode_reward=414.33 +/- 88.95
Episode length: 43.19 +/- 9.84
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 414 |
| time/ | |
| total_timesteps | 620000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 244 |
| learning_rate | 0.001 |
| n_updates | 3359927 |
---------------------------------
Eval num_timesteps=640000, episode_reward=415.04 +/- 86.47
Episode length: 43.53 +/- 9.60
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 415 |
| time/ | |
| total_timesteps | 640000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 196 |
| learning_rate | 0.001 |
| n_updates | 3379918 |
---------------------------------
Eval num_timesteps=660000, episode_reward=416.79 +/- 85.84
Episode length: 43.62 +/- 9.53
---------------------------------
| eval/ | |
| mean_ep_length | 43.6 |
| mean_reward | 417 |
| time/ | |
| total_timesteps | 660000 |
| train/ | |
| actor_loss | -154 |
| critic_loss | 229 |
| learning_rate | 0.001 |
| n_updates | 3399920 |
---------------------------------
Eval num_timesteps=680000, episode_reward=414.03 +/- 90.58
Episode length: 43.15 +/- 10.12
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 414 |
| time/ | |
| total_timesteps | 680000 |
| train/ | |
| actor_loss | -154 |
| critic_loss | 228 |
| learning_rate | 0.001 |
| n_updates | 3419897 |
---------------------------------
Eval num_timesteps=700000, episode_reward=411.17 +/- 88.43
Episode length: 43.35 +/- 9.92
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 411 |
| time/ | |
| total_timesteps | 700000 |
| train/ | |
| actor_loss | -156 |
| critic_loss | 145 |
| learning_rate | 0.001 |
| n_updates | 3439901 |
---------------------------------
Eval num_timesteps=720000, episode_reward=409.33 +/- 84.60
Episode length: 43.30 +/- 9.72
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 409 |
| time/ | |
| total_timesteps | 720000 |
| train/ | |
| actor_loss | -157 |
| critic_loss | 182 |
| learning_rate | 0.001 |
| n_updates | 3459883 |
---------------------------------
Eval num_timesteps=740000, episode_reward=409.85 +/- 90.07
Episode length: 43.09 +/- 10.07
---------------------------------
| eval/ | |
| mean_ep_length | 43.1 |
| mean_reward | 410 |
| time/ | |
| total_timesteps | 740000 |
| train/ | |
| actor_loss | -154 |
| critic_loss | 236 |
| learning_rate | 0.001 |
| n_updates | 3479913 |
---------------------------------
Eval num_timesteps=760000, episode_reward=408.15 +/- 83.95
Episode length: 43.22 +/- 9.98
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 408 |
| time/ | |
| total_timesteps | 760000 |
| train/ | |
| actor_loss | -158 |
| critic_loss | 182 |
| learning_rate | 0.001 |
| n_updates | 3499914 |
---------------------------------
Eval num_timesteps=780000, episode_reward=412.49 +/- 86.58
Episode length: 43.26 +/- 9.69
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 412 |
| time/ | |
| total_timesteps | 780000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 202 |
| learning_rate | 0.001 |
| n_updates | 3519904 |
---------------------------------
Eval num_timesteps=800000, episode_reward=411.92 +/- 89.43
Episode length: 43.20 +/- 9.94
---------------------------------
| eval/ | |
| mean_ep_length | 43.2 |
| mean_reward | 412 |
| time/ | |
| total_timesteps | 800000 |
| train/ | |
| actor_loss | -154 |
| critic_loss | 298 |
| learning_rate | 0.001 |
| n_updates | 3539912 |
---------------------------------
Eval num_timesteps=820000, episode_reward=413.60 +/- 86.16
Episode length: 43.50 +/- 9.63
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 414 |
| time/ | |
| total_timesteps | 820000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 281 |
| learning_rate | 0.001 |
| n_updates | 3559910 |
---------------------------------
Eval num_timesteps=840000, episode_reward=412.48 +/- 88.83
Episode length: 43.32 +/- 9.90
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 412 |
| time/ | |
| total_timesteps | 840000 |
| train/ | |
| actor_loss | -153 |
| critic_loss | 110 |
| learning_rate | 0.001 |
| n_updates | 3579924 |
---------------------------------
Eval num_timesteps=860000, episode_reward=409.93 +/- 87.50
Episode length: 43.43 +/- 9.80
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 410 |
| time/ | |
| total_timesteps | 860000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 154 |
| learning_rate | 0.001 |
| n_updates | 3599905 |
---------------------------------
---------------------------------
| rollout/ | |
| ep_len_mean | 44.9 |
| ep_rew_mean | 399 |
| time/ | |
| episodes | 20000 |
| fps | 18 |
| time_elapsed | 46813 |
| total_timesteps | 865494 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 165 |
| learning_rate | 0.001 |
| n_updates | 3605388 |
---------------------------------
Eval num_timesteps=880000, episode_reward=415.78 +/- 87.19
Episode length: 43.48 +/- 9.67
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 416 |
| time/ | |
| total_timesteps | 880000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 216 |
| learning_rate | 0.001 |
| n_updates | 3619912 |
---------------------------------
Eval num_timesteps=900000, episode_reward=412.09 +/- 88.99
Episode length: 43.26 +/- 9.86
---------------------------------
| eval/ | |
| mean_ep_length | 43.3 |
| mean_reward | 412 |
| time/ | |
| total_timesteps | 900000 |
| train/ | |
| actor_loss | -153 |
| critic_loss | 218 |
| learning_rate | 0.001 |
| n_updates | 3639896 |
---------------------------------
Eval num_timesteps=920000, episode_reward=407.74 +/- 88.10
Episode length: 43.42 +/- 9.87
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 408 |
| time/ | |
| total_timesteps | 920000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 221 |
| learning_rate | 0.001 |
| n_updates | 3659907 |
---------------------------------
Eval num_timesteps=940000, episode_reward=414.61 +/- 87.88
Episode length: 43.60 +/- 9.81
---------------------------------
| eval/ | |
| mean_ep_length | 43.6 |
| mean_reward | 415 |
| time/ | |
| total_timesteps | 940000 |
| train/ | |
| actor_loss | -155 |
| critic_loss | 167 |
| learning_rate | 0.001 |
| n_updates | 3679908 |
---------------------------------
Eval num_timesteps=960000, episode_reward=412.63 +/- 87.32
Episode length: 43.48 +/- 9.72
---------------------------------
| eval/ | |
| mean_ep_length | 43.5 |
| mean_reward | 413 |
| time/ | |
| total_timesteps | 960000 |
| train/ | |
| actor_loss | -152 |
| critic_loss | 240 |
| learning_rate | 0.001 |
| n_updates | 3699903 |
---------------------------------
Eval num_timesteps=980000, episode_reward=412.05 +/- 85.50
Episode length: 43.66 +/- 9.60
---------------------------------
| eval/ | |
| mean_ep_length | 43.7 |
| mean_reward | 412 |
| time/ | |
| total_timesteps | 980000 |
| train/ | |
| actor_loss | -151 |
| critic_loss | 220 |
| learning_rate | 0.001 |
| n_updates | 3719892 |
---------------------------------
Eval num_timesteps=1000000, episode_reward=409.63 +/- 87.06
Episode length: 43.43 +/- 9.80
---------------------------------
| eval/ | |
| mean_ep_length | 43.4 |
| mean_reward | 410 |
| time/ | |
| total_timesteps | 1000000 |
| train/ | |
| actor_loss | -153 |
| critic_loss | 245 |
| learning_rate | 0.001 |
| n_updates | 3739895 |
---------------------------------
Saving to logs/td3/happinize-v1_15