Try two steps
@@ -13,7 +13,7 @@ from lib import environ, data, models, common, validation
from tensorboardX import SummaryWriter
BATCH_SIZE = 32
-BARS_COUNT = 20
+BARS_COUNT = 10
TARGET_NET_SYNC = 1000
DEFAULT_STOCKS = "data/YNDX_160101_161231.csv"
DEFAULT_VAL_STOCKS = "data/YNDX_150101_151231.csv"
@@ -23,7 +23,7 @@ GAMMA = 0.99
REPLAY_SIZE = 100000
REPLAY_INITIAL = 10000
-REWARD_STEPS = 3
+REWARD_STEPS = 2
LEARNING_RATE = 0.0001
@@ -31,7 +31,7 @@ STATES_TO_EVALUATE = 1000
EVAL_EVERY_STEP = 1000
EPSILON_START = 1.0
-EPSILON_STOP = 0.25
+EPSILON_STOP = 0.1
EPSILON_STEPS = 1000000
CHECKPOINT_EVERY_STEP = 1000000
