updateTransFunction: Update Transition Model
In jdtrat/dynaq: Tools to Simulate DynaQ Reinforcement Learning Algorithms

The updateTransFunction updates the transition model for simulated experience. It updates the following:

trans$numSims which keeps track of the number of simulations currently run.
trans$Function which contains the model's estimate of transitioning to different states from FC.
The transition table trans$Table which keeps track of the State/Action/StatePrime/Reward/source of experience (simulated or not).
trans$Track which keeps the running proportion of states observed as a result of the first action/transition (more detailed trans$Table).

1	updateTransFunction(action, statePrime, alpha, real = NULL, x)

`action`	The action taken in the initial state
`statePrime`	The state reached as a result of taking action a in the initial state.
`alpha`	The learning rate for simulated data.
`real`	The previously experienced "real" S, A, R, S' combination.
`x`	The number of simulations to perform.