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hub / github.com/lazyprogrammer/machine_learning_examples / reset

Method reset

rl3/a2c/atari_wrappers.py:261–272  ·  view source on GitHub ↗
(self)

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259 env = env.env
260
261 def reset(self):
262 self.summaries_dict['reward'] = -1
263 self.summaries_dict['episode_length'] = -1
264 self.summaries_dict['total_reward'] = -1
265 self.summaries_dict['total_episode_length'] = -1
266 self.rewards = []
267 env = self.env
268 if self.episodic_env.was_real_done:
269 self.summaries_dict['total_reward'] = -1
270 self.summaries_dict['total_episode_length'] = -1
271 self.total_reward = []
272 return self.env.reset()
273
274 def step(self, action):
275 observation, reward, done, info = self.env.step(action)

Callers 8

reward_functionFunction · 0.95
mainFunction · 0.95
__init__Method · 0.45
resetMethod · 0.45
resetMethod · 0.45
resetMethod · 0.45
resetMethod · 0.45
resetMethod · 0.45

Calls

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Tested by

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