epsilonGreedyActionSelection: Performs \varepsilon-greedy action selection

In ReinforcementLearning: Model-Free Reinforcement Learning

Description

Deprecated. Please use [ReinforcementLearning::selectEpsilonGreedyAction()] instead.

Usage

epsilonGreedyActionSelection(Q, state, epsilon)

Arguments

Q	State-action table of type hash.
state	The current state.
epsilon	Exploration rate between 0 and 1.

Value

Character value defining the next action.

References

Sutton and Barto (1998). "Reinforcement Learning: An Introduction", MIT Press, Cambridge, MA.

ReinforcementLearning documentation built on March 26, 2020, 7:38 p.m.