Your paper must cover one of the following topics:
To get full credit you must not only describe these techniques but also explain how they relate to one another, and suggest when each of them would be the most appropriate technique to adopt.
For full credit you must not only briefly describe the work in the papers, but also discuss the good and bad features of the papers (justifying your position).
To get full credit you must describe the problem in detail (enough detail that I can understand it :-), and also describe how the relevant components of the reinforcement learning model (the reward structure, the probability distributions and so on) may be obtained for the problem.
You need to hand in your paper at the class on March 30th.