We conducted Summer Seminar 2017 in NAIST. We invited two students to give lectures and practical training on reinforcement learning.
Practice was to implement Q-learning with function approximator using Gauss basis for CartPole and Acrobot, which are tasks of continuous state / discrete action in the simulation environment of OpenAI Gym.