# **meeting 02/20** **Advisor: Prof. Chih-Yu Wang \ Presenter: Shao-Heng Chen \ Date: Feb 20, 2023** <!-- Chih-Yu Wang --> <!-- Wei-Ho Chung --> ## **Ns-to-MSE** <img src='https://hackmd.io/_uploads/Hy56g-b36.png' width=70% weight=50%> #### ```2-16-16``` ```shell -------------------------------- random action: mean: -0.013917082019152077 std: 0.036984101313804765 max: -9.543118721921928e-06 min: -0.2790677547454834 shape: (688,) -------------------------------- ``` ```shell -------------------------------- optimal of (2, 16, 16) for use 0: mean: -0.012288016486838117 std: 0.04675358243396283 max: -2.696477849895018e-07 min: -1.3576807975769043 shape: 688 -------------------------------- -------------------------------- optimal of (2, 16, 16) for use 1: mean: -0.012486589746976726 std: 0.048329034429372336 max: -2.0766064778854343e-07 min: -1.1592001914978027 shape: 688 -------------------------------- ``` ```shell -------------------------------- model inference of PPO-2024-02-07-2-16-16/1024000: mean: -0.008019155822694302 std: 0.030112795531749725 max: -1.4471767428858584e-07 min: -0.5527462363243103 shape: (1, 688) -------------------------------- ``` #### ```2-16-36``` <!-- fixed --> ```shell -------------------------------- random action: mean: -0.023061334674611658 std: 0.05316203144088717 max: -1.0543761845838162e-06 min: -0.4291314482688904 shape: (1468,) -------------------------------- ``` ```shell -------------------------------- optimal of (2, 16, 36) for use 0: mean: -0.016331391512285336 std: 0.022471343165621806 max: -7.127234130166471e-05 min: -0.14572833478450775 shape: 1468 -------------------------------- -------------------------------- optimal of (2, 16, 36) for use 1: mean: -0.01307210333697185 std: 0.01957324214753683 max: -2.436176328046713e-05 min: -0.12526936829090118 shape: 1468 -------------------------------- ``` ```shell -------------------------------- model inference of PPO-2024-02-07-2-16-36/307200: mean: -0.004969432018697262 std: 0.006308767478913069 max: -6.475747795775533e-05 min: -0.03877488896250725 shape: (1, 1468) -------------------------------- ``` #### ```2-16-64``` <!-- fixed --> ```shell -------------------------------- random action: mean: -0.0353129397273733 std: 0.05144454449597373 max: -0.0001517296041129157 min: -0.43184614181518555 shape: (2560,) -------------------------------- ``` ```shell -------------------------------- optimal of (2, 16, 64) for use 0: mean: -0.027229693582921755 std: 0.04080028865217358 max: -7.458598702214658e-05 min: -0.25762486457824707 shape: 2560 -------------------------------- -------------------------------- optimal of (2, 16, 64) for use 1: mean: -0.030463895754510303 std: 0.04541482476570679 max: -0.0001501513470429927 min: -0.30760276317596436 shape: 2560 -------------------------------- ``` ```shell -------------------------------- model inference of PPO-2024-02-07-2-16-64/1024000: mean: -0.0008664041524752975 std: 0.0011005137348547578 max: -9.884224709821865e-06 min: -0.005899510346353054 shape: (1, 2560) -------------------------------- ``` #### ```2-16-100``` <!-- fixed --> ```shell -------------------------------- random action: mean: -0.0390216155780945 std: 0.06793111913191109 max: -0.00033274589804932475 min: -0.697759747505188 shape: (3964,) -------------------------------- ``` ```shell -------------------------------- optimal of (2, 16, 100) for use 0: mean: -0.030542098013575013 std: 0.045174246173073994 max: -9.487663919571787e-05 min: -0.39855754375457764 shape: 3964 -------------------------------- -------------------------------- optimal of (2, 16, 100) for use 1: mean: -0.03151983585063135 std: 0.039150912506345954 max: -4.95472049806267e-05 min: -0.22350725531578064 shape: 3964 -------------------------------- ``` ```shell -------------------------------- model inference of PPO-2024-02-07-2-16-100/348160: mean: -0.00017034330812748522 std: 0.00015886197797954082 max: -5.557512849918567e-06 min: -0.0010608364827930927 shape: (1, 3964) -------------------------------- ```