Machine Learning, Reinforcement Learning, Artificial Intelligence, Technology, Robots.
accurate models of friction and contact that are difficult to obtain. Robots need to be much more adaptive to close the gap from the lab to the real world, and residual reinforcement learning is one mechanism that may help close that gap. At the same time, it can take a huge amount of data for RL