qlearningupdate: qlearningupdate
In labressler/QLearning: Reinforcement Learning using the Q Learning Algorithm

This repository implements Q-Learning, a model-free form of reinforcement learning in R.

1 2	qlearningupdate(q, currentstate, currentaction, currentreward, nextstate=NULL, rewardcount=.5, gamma=.25)

`q`	Input state/action matrix.
`currentstate`	Current state of the game. Does not have to match any of the state for q.
`currentaction`	Action to take.
`currentreward`	Reward for currentaction in current iteration.
`nextstate`	State that the game is in after taking currentaction.
`rewardcount`	Regularization constant for reward.
`gamma`	Learning rate constant for Q-Learning.