Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots
Michael J. Sorocky,Siqi Zhou,Angela P. Schoellig,Michael J. Sorocky,Siqi Zhou,Angela P. Schoellig
In the robotics literature, different knowledge transfer approaches have been proposed to leverage the experience from a source task or robot-real or virtual-to accelerate the learning process on a new task or robot. A commonly made but infrequently examined assumption is that incorporating experience from a source task or robot will be beneficial. In practice, inappropriate knowledge transfer can...
