NIPS 2015 Workshop (Levine) 15494 Deep Reinforcement Learning
Although the theory of reinforcement learning addresses an extremely general class of learning problems with a common mathematical formulation, its power has been limited by the need to develop task-specific feature representations. A paradigm shift is occurring as researchers figure out how to use deep neural networks as function approximators in reinforcement learning algorithms; this line of work has yielded remarkable empirical results in recent years. This workshop will bring together researchers working at the intersection of deep learning and reinforcement learning, and it will help researchers with expertise in one of these fields to learn about the other.
We hope you will enjoy this and some our 14k+ other artificial intelligence videos. We keep adding new channels and playlists all the time, so the number of fresh videos keeps growing every day.
BTC 3KqW2c7wrhJDxAjBaywzj74mF2u5uZg665 (get a BTC wallet, get free BTC)