mlpy.planners.explorers.discrete.SoftmaxExplorer.choose_action¶
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SoftmaxExplorer.
choose_action
(actions, qvalues)[source]¶ Choose the next action.
Choose the next action according to the Gibbs distribution.
Parameters: actions : list[Actions]
The available actions.
qvalues : list[float]
The q-value for each action.
Returns: Action :
The action with maximum q-value that can be taken from the given state.