selectRandomAction

State-action table of type <code>hash</code>.

state

Exploration rate between 0 and 1 (not used).

epsilon

Performs random action selection. In this strategy, the agent always selects an action at random.

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>.

selectRandomAction: Performs random action selection

Description

Usage

Arguments

Value