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Reseed for each worker

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Shangtong Zhang
2017-12-25 09:52:38 -07:00
parent 964734755f
commit 0b075a353b
2 changed files with 7 additions and 2 deletions
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agent/async_agent.py
+5
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@@ -13,8 +13,11 @@ from async_worker import *
import pickle
import os
import time
import sys
def train(id, config, learning_network, extra):
np.random.seed()
torch.manual_seed(np.random.randint(sys.maxsize))
worker = config.worker(config, learning_network, extra)
episode = 0
rewards = []
@@ -27,6 +30,8 @@ def train(id, config, learning_network, extra):
episode += 1
def evaluate(config, task, learning_network, extra):
np.random.seed()
torch.manual_seed(np.random.randint(sys.maxsize))
test_rewards = []
test_points = []
test_wall_times = []