Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Abstract— This paper presents an approach for the closedloop control of actuated biped that allows natural looking and energy efficient walking. Rather than prescribe kinematic ...
In this paper we present the robot programming and planning language Readylog, a Golog dialect which was developed to support the decision making of robots acting in dynamic real-...
This paper studies a general dynamic buffer management problem with one buffer inserted between two interacting components. The component to be controlled is assumed to have multi...
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...