This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
— Synthesis of robot behaviors towards nontrivial goals often requires reasoning about both discrete and continuous aspects of the underlying domain. Existing approaches in build...
Warping is fundamental to multiple algorithms in computer vision and medical imaging such as image and volume registration. Warping is performed by determining a continuous deform...
This paper deals with the problem of controlling highly dynamic mechatronic systems. Such systems may work in several different operation modes, or even underlie continuous mode c...
Klaus Ecker, Andrei Tchernykh, Frank Drews, Silke ...
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...