Created
December 5, 2017 04:15
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baseline_optimizer.optimizer.learning_rate: 0.1127 | |
net.activation_tanh: 0.0854 | |
baseline_optimizer.num_steps: 0.0569 | |
entropy_regularization: 0.0549 | |
source_kaggle2: 0.0499 | |
net.depth: 0.0461 | |
net.l1: 0.0456 | |
net.width: 0.0428 | |
discount: 0.0397 | |
net.dropout: 0.0375 | |
max_repeat: 0.0355 | |
baseline_mode_states: 0.0322 | |
net.l2: 0.0311 | |
step_optimizer.learning_rate: 0.0304 | |
batch_size: 0.0285 | |
gae_lambda: 0.0274 | |
likelihood_ratio_clipping: 0.0234 | |
optimization_steps: 0.0229 | |
source_kaggle: 0.0202 | |
normalize_rewards: 0.0188 | |
net.pre_depth: 0.0185 | |
step_optimizer.type_nadam: 0.0165 | |
net.window: 0.0135 | |
net.activation_selu: 0.0132 | |
step_optimizer.type_adam: 0.0127 | |
indicators: 0.0118 | |
net.activation_relu: 0.0095 | |
net.funnel: 0.0078 | |
source_alex: 0.0075 | |
net.stride: 0.0074 | |
net.activation_elu: 0.0068 | |
net.type_conv2d: 0.0068 | |
net.money_last_False: 0.0065 | |
keep_last_timestep: 0.0054 | |
net.type_lstm: 0.0044 | |
diff_percent: 0.0043 | |
net.money_last_True: 0.0034 | |
steps: 0.0023 |
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