state

<p>Additional parameters passed to function.</p>

<p>Converts object of any class to a reinforcement learning state of type character.</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

ReinforcementLearning

state: Creates a state representation for arbitrary objects

Description

Usage

Arguments

Value