Module Expr Str Import alias Import alias ClassDef bases body Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Str Assign NameStore Str Assign NameStore Num Assign NameStore Num Assign NameStore Str Assign NameStore Str Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Str Assign NameStore Num Assign NameStore Num Assign NameStore Str Assign NameStore Num Assign NameStore Num Assign NameStore Str Assign NameStore Num Assign NameStore NameLoad Assign NameStore NameLoad decorator_list If CompareEq NameLoad Str body Expr Call AttributeLoad NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Slice Num NameLoad NameLoad
N/A N/A 
Execute a training run of deep-Q-Leaning with parameters that
are consistent with:

Human-level control through deep reinforcement learning.
Nature, 518(7540):529-533, February 2015

 N/A launcher N/A sys Defaults N/A N/A N/A STEPS_PER_EPOCH 250000 N/A EPOCHS 200 N/A STEPS_PER_TEST 125000 N/A BASE_ROM_PATH ../roms/ N/A ROM breakout.bin N/A FRAME_SKIP 4 N/A REPEAT_ACTION_PROBABILITY 0 N/A UPDATE_RULE deepmind_rmsprop N/A BATCH_ACCUMULATOR sum N/A LEARNING_RATE 0.00025 N/A DISCOUNT 0.99 N/A RMS_DECAY 0.95 N/A RMS_EPSILON 0.01 N/A MOMENTUM 0 N/A CLIP_DELTA 1.0 N/A EPSILON_START 1.0 N/A EPSILON_MIN 0.1 N/A EPSILON_DECAY 1000000 N/A PHI_LENGTH 4 N/A UPDATE_FREQUENCY 4 N/A REPLAY_MEMORY_SIZE 1000000 N/A BATCH_SIZE 32 N/A NETWORK_TYPE nature_dnn N/A FREEZE_INTERVAL 10000 N/A REPLAY_START_SIZE 50000 N/A RESIZE_METHOD scale N/A RESIZED_WIDTH 84 N/A RESIZED_HEIGHT 84 N/A DEATH_ENDS_EPISODE true N/A MAX_START_NULLOPS 30 N/A DETERMINISTIC True N/A CUDNN_DETERMINISTIC False N/A N/A N/A __name__ __main__ N/A N/A N/A N/A launcher launch N/A N/A sys argv N/A 1 Defaults __doc__