lookupActionSelection

<p>A string denoting the type of action selection. Allowed values are <code>epsilon-greedy</code> or <code>random</code>.</p>

type

<p>Input is a name for the action selection, output is the corresponding function object.</p>

Performs model-free reinforcement learning in R. This implementation enables the learning
of an optimal policy based on sample sequences consisting of states, actions and rewards. In
addition, it supplies multiple predefined reinforcement learning algorithms, such as experience
replay. Methodological details can be found in Sutton and Barto (1998) <ISBN:0262039249>.

Nicolas Proellochs

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lookupActionSelection: Converts a name into an action selection function

Description

Usage

Arguments

Value