Adds description of param_noise parameter in deepq.learn method (#675)
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@@ -169,6 +169,8 @@ def learn(env,
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to 1.0. If set to None equals to total_timesteps.
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to 1.0. If set to None equals to total_timesteps.
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prioritized_replay_eps: float
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prioritized_replay_eps: float
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epsilon to add to the TD errors when updating priorities.
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epsilon to add to the TD errors when updating priorities.
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param_noise: bool
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whether or not to use parameter space noise (https://arxiv.org/abs/1706.01905)
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callback: (locals, globals) -> None
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callback: (locals, globals) -> None
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function called at every steps with state of the algorithm.
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function called at every steps with state of the algorithm.
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If callback returns true training stops.
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If callback returns true training stops.
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