epsilonGreedyActionSelection: Performs \(\varepsilon\)-greedy action selection
Description
Deprecated. Please use [ReinforcementLearning::selectEpsilonGreedyAction()] instead.
Usage
epsilonGreedyActionSelection(Q, state, epsilon)
Arguments
Q
State-action table of type hash
.
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.