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Generate dataset for video prediction

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This commit is contained in:
Shangtong Zhang
2017-12-16 20:03:11 -07:00
parent 56304e63e6
commit 214f7693c2
8 changed files with 154 additions and 18 deletions
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utils/misc.py
+10 -3
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@@ -6,7 +6,7 @@
import numpy as np
import pickle
import os
def run_episodes(agent):
config = agent.config
@@ -33,6 +33,9 @@ def run_episodes(agent):
if config.episode_limit and ep > config.episode_limit:
break
if config.max_steps and agent.total_steps > config.max_steps:
break
if config.test_interval and ep % config.test_interval == 0:
config.logger.info('Testing...')
agent.save('data/%s-%s-model-%s.bin' % (agent_type, config.tag, agent.task.name))
@@ -47,11 +50,15 @@ def run_episodes(agent):
pickle.dump({'rewards': rewards,
'steps': steps,
'test_rewards': avg_test_rewards}, f)
if avg_reward > agent.task.success_threshold:
if avg_reward > config.success_threshold:
break
return steps, rewards, avg_test_rewards
def sync_grad(target_network, src_network):
for param, src_param in zip(target_network.parameters(), src_network.parameters()):
param._grad = src_param.grad.clone()
param._grad = src_param.grad.clone()
def mkdir(path):
if not os.path.exists(path):
os.mkdir(path)