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update of api docstrings across coach and tutorials [WIP] (#91)

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* updating the documentation website
* adding the built docs
* update of api docstrings across coach and tutorials 0-2
* added some missing api documentation
* New Sphinx based documentation
This commit is contained in:
Itai Caspi
2018-11-15 15:00:13 +02:00
committed by Gal Novik
parent 524f8436a2
commit 6d40ad1650
517 changed files with 71034 additions and 12834 deletions
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13
rl_coach/agents/pal_agent.py
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@@ -24,6 +24,19 @@ from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperi
class PALAlgorithmParameters(DQNAlgorithmParameters):
"""
:param pal_alpha: (float)
A factor that weights the amount by which the advantage learning update will be taken into account.
:param persistent_advantage_learning: (bool)
If set to True, the persistent mode of advantage learning will be used, which encourages the agent to take
the same actions one after the other instead of changing actions.
:param monte_carlo_mixing_rate: (float)
The amount of monte carlo values to mix into the targets of the network. The monte carlo values are just the
total discounted returns, and they can help reduce the time it takes for the network to update to the newly
seen values, since it is not based on bootstrapping the current network values.
"""
def __init__(self):
super().__init__()
self.pal_alpha = 0.9