Many machine learning approaches for decision making, such as reinforcem...
Multibody dynamics simulators are an important tool in many fields, incl...
Reinforcement learning is a promising method for robotic grasping as it ...
We propose a novel framework for learning linear time-invariant (LTI) mo...
Gaussian process regression is often applied for learning unknown system...
We propose a novel framework for constructing linear time-invariant (LTI...
We present a novel data-driven approach for learning linear representati...
Simulation of contact and friction dynamics is an important basis for
co...
Voronoi coverage control is a particular problem of importance in the ar...