Reinforcement learning (RL) is a branch of semisupervised learning that specializes in control problems and online learning problems (learning works with a single example supplied at a given time). RL-agents have been successfully applied in robotics, game AI (Go, chess, strategy games) and personalizing user experience. The project is recommended to be followed alongside the Seminar: Reinforcement Learning and Its Applications (http://www.cs.helsinki.fi/courses/58314105/2014/k/s/1). Most of the theoretical aspects of reinforcement learning will be covered during the seminar, where a number of practical applications will be discussed as well. The course has one mandatory meeting at the beginning of the project and one optional presentation meeting at the end. Individual meetings and help will be available at regular intervals.