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Create a dataset using an agent (#306)

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Generate a dataset using an agent (allowing to select between this and a random dataset)
This commit is contained in:
Gal Leibovich
2019-05-28 09:34:49 +03:00
committed by GitHub
parent 342b7184bc
commit 9e9c4fd332
26 changed files with 351 additions and 111 deletions
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8
rl_coach/exploration_policies/parameter_noise.py
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@@ -59,9 +59,13 @@ class ParameterNoise(ExplorationPolicy):
self.network_params = network_params
self._replace_network_dense_layers()
def get_action(self, action_values: List[ActionType]) -> ActionType:
def get_action(self, action_values: List[ActionType]):
if type(self.action_space) == DiscreteActionSpace:
return np.argmax(action_values)
action = np.argmax(action_values)
one_hot_action_probabilities = np.zeros(len(self.action_space.actions))
one_hot_action_probabilities[action] = 1
return action, one_hot_action_probabilities
elif type(self.action_space) == BoxActionSpace:
action_values_mean = action_values[0].squeeze()
action_values_std = action_values[1].squeeze()