Hi,
I am begiiner in RL and I want to use simple R-max for gridworld with MDP model and output is average reward in each 20 episode and Q-values. how can I set parameters in class PotentialShapedRMax?
for example gamma, maxReward, nConfident , maxVIDelta and maxVIPasses.
reward is 1000 for goal state,-100 for wall and -1 for other state
next, how can I use basic behavior for R-max.
I've read tutorial for burlap using Q-learning but I don't know how to use R-max in my code to have abow results. help me plz.....