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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
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874 B
ReStructuredText
29 lines
874 B
ReStructuredText
Behavioral Cloning
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==================
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**Actions space:** Discrete | Continuous
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Network Structure
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-----------------
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.. image:: /_static/img/design_imgs/pg.png
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:align: center
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Algorithm Description
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---------------------
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Training the network
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++++++++++++++++++++
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The replay buffer contains the expert demonstrations for the task.
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These demonstrations are given as state, action tuples, and with no reward.
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The training goal is to reduce the difference between the actions predicted by the network and the actions taken by
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the expert for each state.
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1. Sample a batch of transitions from the replay buffer.
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2. Use the current states as input to the network, and the expert actions as the targets of the network.
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3. For the network head, we use the policy head, which uses the cross entropy loss function.
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.. autoclass:: rl_coach.agents.bc_agent.BCAlgorithmParameters |