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log_1680415941.5670764.log
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[taxi-dqn.py - <module>:22] :
Hey, Welcome Amitabh !
[taxi-dqn.py - <module>:28] : Observation space : Discrete(500)
[taxi-dqn.py - <module>:29] : Number of states : 500
[taxi-dqn.py - <module>:30] : Action space : Discrete(6)
[taxi-dqn.py - <module>:31] : Number of action space : 6
[taxi-dqn.py - build_compile_model:69] : <bound method Model.summary of <keras.engine.sequential.Sequential object at 0x0000023B842F0220>>
[taxi-dqn.py - build_compile_model:69] : <bound method Model.summary of <keras.engine.sequential.Sequential object at 0x0000023B8A9AC640>>
[taxi-dqn.py - align_target_model:76] : Weights of the network : [array([[-0.00267202, -0.02211745, 0.04137038, ..., -0.00903909,
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[taxi-dqn.py - act:83] : In ACT : state value : [[243]]
[functional.py - _conform_to_reference_input:678] : Tensore receied : Tensor("IteratorGetNext:0", shape=(None, 1), dtype=int32)
[functional.py - _conform_to_reference_input:679] : REf input receied : KerasTensor(type_spec=TensorSpec(shape=(None, 1), dtype=tf.float32, name='embedding_input'), name='embedding_input', description="created by layer 'embedding_input'")
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.01479432 -0.00103773 0.00469739 -0.01479825 0.00878231 0.01039843]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[343]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.0021795 -0.01067402 0.01158564 -0.01111635 0.00577843 -0.01211501]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 2
[taxi-dqn.py - act:83] : In ACT : state value : [[323]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.01272602 -0.01678107 0.00853092 -0.02240569 0.01119777 -0.00301962]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[ 0.00482084 -0.00844063 0.00328383 -0.02081102 -0.00420086 -0.00898019]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 0
[functional.py - _conform_to_reference_input:678] : Tensore receied : Tensor("IteratorGetNext:0", shape=(None, 1), dtype=int32)
[functional.py - _conform_to_reference_input:679] : REf input receied : KerasTensor(type_spec=TensorSpec(shape=(None, 1), dtype=tf.float32, name='embedding_1_input'), name='embedding_1_input', description="created by layer 'embedding_1_input'")
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[ 0.0021795 -0.01067402 0.01158564 -0.9923644 0.00577843 -0.01211501]] : Action chosend : -0.9923644065856934
[functional.py - _conform_to_reference_input:678] : Tensore receied : Tensor("IteratorGetNext:0", shape=(None, 1), dtype=int32)
[functional.py - _conform_to_reference_input:679] : REf input receied : KerasTensor(type_spec=TensorSpec(shape=(None, 1), dtype=tf.float32, name='embedding_input'), name='embedding_input', description="created by layer 'embedding_input'")
[functional.py - _conform_to_reference_input:678] : Tensore receied : Tensor("IteratorGetNext:0", shape=(None, 1), dtype=int32)
[functional.py - _conform_to_reference_input:679] : REf input receied : KerasTensor(type_spec=TensorSpec(shape=(None, 1), dtype=tf.float32, name='embedding_input'), name='embedding_input', description="created by layer 'embedding_input'")
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.02549328 -0.00171016 -0.06058468 0.0050387 -0.01107461]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-9.9710751e-01 -3.7616197e-02 -7.7419588e-04 -9.4078079e-02
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[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.04044066 -0.03262182 -0.09128769 0.01597866 -0.03777147]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.04814089 -0.05757907 -0.11435591 0.02422724 -0.05729264]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.24661016 -0.07439117 -0.9930486 -0.17691235 0.06289089 -0.06633194]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.3337046 -0.08976026 -0.9930486 -0.2029259 0.07958913 -0.09198813]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.1044735 -0.19205981 -0.20177421 0.08979815 -0.12516673]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.53111255 -0.14521652 -0.9930486 -0.28036726 0.13121761 -0.14809248]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.6506449 -0.18395582 -0.9930486 -0.33276913 0.16127062 -0.17559214]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.78522277 -0.23259416 -0.9930486 -0.39896992 0.19092092 -0.20876493]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9391889 -0.291846 -0.9930486 -0.47872034 0.2220487 -0.24741566]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1156192 -0.36072877 -0.9930486 -0.56818265 0.25866914 -0.29215845]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.3094249 -0.43604612 -1.0680952 -0.6633724 -9.993049 -0.34238097]] : Action chosend : -9.993048667907715
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.3524691 -0.42128104 -0.9930486 -0.6450286 0.20117249 -0.3556319 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.3756471 -1.1000457 -0.5603484 0.08293556 -0.35029873]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.3582179 -1.1173421 -0.5386104 0.01217167 -0.34949902]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.33599088 -1.1110399 -0.5090398 -0.04708417 -0.34374022]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2822865 -0.35214144 -0.9930486 -0.5570774 -0.0996021 -0.37157506]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9930486 -0.23503077 -0.85204524 -0.38479203 -0.0957711 -0.2500866 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1962693 -0.31129065 -0.9930486 -0.5197004 -0.18935676 -0.36208972]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1575394 -0.2922655 -0.9930486 -0.5017323 -0.22430731 -0.3564695 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.22009929 -0.9390041 -0.39536366 -0.20026688 -0.28868237]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0843719 -0.2572666 -0.9930486 -0.46620944 -0.2798587 -0.34330007]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0520246 -0.2418453 -0.9930486 -0.44980887 -0.3018561 -0.33671874]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.16465403 -0.8417942 -0.3435432 -0.23803906 -0.26185986]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0037658 -0.21512488 -0.9930486 -0.42009887 -0.33357656 -0.3251955 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9907054 -0.20151153 -0.9930486 -0.4067296 -0.34397492 -0.32045165]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.12840146 -0.79953945 -0.31384063 -0.26318586 -0.24723974]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.11697531 -0.80461305 -0.30689782 -0.27157828 -0.23949608]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0053408 -0.16145092 -0.9930486 -0.3775681 -0.36999983 -0.3035757 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.0954143 -0.84032625 -0.2964792 -0.29080543 -0.2238808 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - act:83] : In ACT : state value : [[423]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[-0.97241086 -0.08520057 -0.86723715 -0.29239008 -0.30082163 -0.21601552]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 1
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.08520057 -0.86723715 -0.29239008 -0.30082163 -0.21601552]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.08335142 -0.8674316 -0.3127524 -0.29804695 -0.22484633]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1329346 -0.1084701 -0.9930486 -0.34458506 -0.40417123 -0.26381698]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1672167 -0.09833652 -0.9930486 -0.33778307 -0.4106196 -0.25510222]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.192402 -0.09006532 -0.9930486 -0.33146256 -0.41524932 -0.24861556]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9930486 -0.07201652 -0.999609 -0.31139913 -0.41042778 -0.2374869 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1789112 -0.08316286 -0.9930486 -0.3227663 -0.41893786 -0.2452798 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.04612105 -0.9411797 -0.2768179 -0.34893334 -0.19106178]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1067846 -0.08532848 -0.9930486 -0.31894928 -0.4187194 -0.24984021]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.072115 -0.08719869 -0.9930486 -0.31827772 -0.4192249 -0.2524456 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.05140653 -0.8735542 -0.2752977 -0.35167715 -0.19920012]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0232549 -0.0907058 -0.9930486 -0.3183603 -0.42269814 -0.25527763]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0075742 -0.09210673 -0.9930486 -0.31926072 -0.42603153 -0.25626758]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.05656409 -0.85685754 -0.27612975 -0.35683468 -0.20355503]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.95443344 -0.9923644 -0.86238694 -0.27680132 -0.3595365 -0.2040754 ]] : Action chosend : -0.9923644065856934
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9861437 -0.14075899 -0.93528265 -0.32631263 -9.993049 -0.26215112]] : Action chosend : -9.993048667907715
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0305893 -0.18173409 -0.9930486 -0.33286816 -0.52916175 -0.27428892]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.18675482 -0.93310076 -0.2849774 -0.4974372 -0.22167666]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.22191 -0.96406007 -0.28664404 -0.55877167 -0.2273167 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.25491163 -0.99340004 -0.28828984 -0.6165972 -0.23233691]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.28551695 -1.020163 -0.28958243 -0.6706822 -0.23680402]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2363962 -0.3600508 -0.9930486 -0.36160043 -0.90806216 -0.30086204]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2579062 -0.3867152 -0.9930486 -0.36235613 -0.9665173 -0.30044118]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.266872 -0.40754965 -0.9930486 -0.35957506 -1.0157346 -0.29751438]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2655209 -0.42274302 -0.9930486 -0.3541598 -1.0562035 -0.292807 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.37916726 -0.9464158 -0.2772642 -0.85002744 -0.23124406]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2524456 -0.437385 -0.9930486 -0.33441603 -1.1154324 -0.27907306]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2432046 -0.4418738 -0.9930486 -0.32472813 -1.1392096 -0.27283025]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.235604 -0.44618684 -1.0024158 -0.9923644 -1.1615098 -0.26855037]] : Action chosend : -0.9923644065856934
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.40358233 -0.77633417 -0.29639602 -0.91658044 -0.21862423]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2337731 -0.45535022 -0.9930486 -0.40574726 -1.2028259 -0.27167088]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2350111 -0.46021828 -0.9930486 -0.4450893 -1.2218475 -0.27340427]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - act:83] : In ACT : state value : [[323]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[-1.0392514 -0.41769654 -0.7425283 -0.4193771 -0.9873922 -0.25191242]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 5
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2385885 -0.46596396 -0.9930486 -0.48217553 -1.2406449 -0.2754897 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.41886252 -0.6947876 -0.41146114 -0.9624931 -0.21826887]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.42329443 -0.68856114 -0.4353894 -0.97312707 -0.21877435]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.4275848 -0.68329734 -0.45750752 -0.98332196 -0.21938291]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0549248 -0.43762162 -0.72115076 -0.51997846 -1.0339743 -9.992364 ]] : Action chosend : -9.992363929748535
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2974288 -0.49147636 -0.9930486 -0.6717464 -1.3215084 -0.39586097]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.43519568 -0.71280015 -0.57906365 -1.0170625 -0.395778 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.3491833 -0.494244 -0.9930486 -0.7892422 -1.3471192 -0.5980663]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.3706447 -0.49576515 -0.9930486 -0.84257704 -1.358661 -0.6892408 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.3913573 -0.49749678 -0.9930486 -0.8928614 -1.3696947 -0.77444726]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.411083 -0.49906307 -0.9930486 -0.9402719 -1.3800274 -0.8540197 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.4287245 -0.5002078 -0.9930486 -0.98378485 -1.3891231 -0.927375 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.44584584 -0.8298054 -0.804116 -1.0596492 -0.786169 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.440408 -0.49973607 -1.0670712 -0.9923644 -1.40216 -1.0549175 ]] : Action chosend : -0.9923644065856934
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.4357351 -0.49844292 -0.9930486 -1.0809003 -1.4062684 -1.1090307 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.43928474 -0.84121394 -0.85114306 -1.0515165 -0.9012097 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.4095763 -0.49278682 -0.9930486 -1.1162906 -1.4095007 -1.1996659 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.3894482 -0.4885785 -0.9930486 -1.1292592 -1.4088821 -1.2368234]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.4242919 -0.8022722 -0.8631058 -1.0268492 -0.96820843]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.3458812 -0.47935915 -0.9930486 -1.1483654 -1.405118 -1.2982208 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.4134733 -0.7633803 -0.86350214 -1.0088373 -0.9962633 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.40875125 -0.7457959 -0.8634686 -1.0017034 -1.0076073 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.40488973 -0.7316545 -0.8642528 -0.99724066 -1.0181649 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2821014 -0.46354 -0.9930486 -1.1735913 -1.3976926 -1.3863645]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.5611388 -1.0819222 -1.3359587 -1.4439003 -1.6094096]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.2214038 -0.45282122 -0.9930486 -1.1782502 -1.3936496 -1.4116966 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1729088 -0.44622803 -0.9930486 -1.1786263 -1.3903061 -1.4205507 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.1303302 -0.441081 -0.9930486 -1.1801416 -1.3880897 -1.4297458]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0929652 -0.4372166 -0.9930486 -1.1826689 -1.3868725 -1.4392518]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0600834 -0.43439892 -0.9930486 -1.1859605 -1.3864528 -1.4488987 ]] : Action chosend : -0.9930486083030701
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.7597862 -0.9923644 -0.71970934 -0.8686278 -0.9742742 -1.0718641 ]] : Action chosend : -0.9923644065856934
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.42626676 -0.7390747 -0.8766346 -0.98092175 -1.084919 ]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - act:83] : In ACT : state value : [[323]]
[taxi-dqn.py - act:85] : In ACT : qvalue value : [[-1.0996028 -0.6282162 -1.1136973 -1.3250537 -1.3924123 -1.6513761]]
[taxi-dqn.py - act:86] : In ACT : qvalue value npmax: 1
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.0996028 -0.9904163 -1.1136973 -1.3250537 -1.3924123 -1.6513761]] : Action chosend : -0.9904162883758545
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-0.9971075 -0.7212703 -1.1375601 -1.3324213 -1.3964412 -1.6646804]] : Action chosend : -0.9971075057983398
[taxi-dqn.py - retrain:102] : Target Network data at target.predict : [[-1.005511 -0.6986915 -0.9930486 -1.2128031 -1.4010797 -1.5026401]] : Action chosend : -0.9930486083030701