In this video I dive into three advanced papers that addres the problem of the sparse reward setting in Deep Reinforcement Learning and pose interesting research directions for mastering unsupervised learning in autonomous agents. Papers discussed: Reinforcement Learning with Unsupervised Auxiliary Tasks - DeepMind: https://arxiv.org/abs/1611.05397 Curiosity Driven Exploration - UC Berkeley: https://arxiv.org/abs/1705.05363 Hindsight Experience Replay - OpenAI: https://arxiv.org/abs/1707.01495 If you want to support this channel, here is my patreon link: https://patreon.com/ArxivInsights --- You are amazing!! ;) If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight: https://pensight.com/x/xander-steenbrugge