I will give a short two week tutorial on reinforcement learning. (I will assume very little on the background of the audience.) In will (try) and cover the following topics: 1. Mathematical model of Markov Decision Processes. 2. Planning in MDP 3. Learning in (unknown) MDP 4. Large (exponential) state MDP 5. Partially Observable MDP (time permitting). This tutorial is intended to be interactive with the audience participation :-)