Deep Reinforcement Learning is essential in designing autonomous systems possessing a broader perception of the surrounding environment. Recent advances in artificial intelligence have enabled deep neural networks to be successfully applied on reinforcement learning. This seminar aims at acquainting students with the cutting edge research contributions in the field of deep reinforcement learning, including strengthening the ability to comprehend, analyze and positively critisize published papers.