Project 5: CS 5013

30 points for correctly implementing the RL or GA method that you proposed and got feedback on (if you were told to choose a different method, you need to implement the method you were told to adjust to).  A correct learner uses learning in a way to improve performance and learning will be demonstrated in the writeup (though the curve is graded separately) using a learning curve.  Learning code should be well documented to receive full credit.

a state space representation that is appropriate to the task being solved and is correctly implemented.  If you implemented GAs, 10 points for the representation of the chromosome that is appropriate to the task being solved and is correctly implemented.

reward (RL) or fitness (GA) function appropriate to the task being solved and is correctly implemented

correctly drawing graphics (or using printouts) that enable you to debug your learning and that help us to grade it.

collecting data and demonstrating learning using a learning curve (in the writeup).  For full credit, make sure you explain why it is learning or not learning (if it isn't learning, you will not lose your points if you can explain WHY it is not learning)

describing your RL or GA approach including your state space or chromosome and reward function or fitness and mutation and crossover in a paragraph or two

correctly implementing a second RL/GA task or integrating a learning method from project 4 into project 5 and documenting with a learning curve and paragraph describing it in the writeup