Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
We consider a market model with one riskfree and one risky asset, in which the dynamics of the risky asset is governed by a geometric Brownian motion. In this market we consider a...
A 4D parametric motion graph representation is presented for interactive animation from actor performance capture in a multiple camera studio. The representation is based on a 4D ...
Dan Casas, Margara Tejera, Jean-Yves Guillemaut, A...
—We propose an adaptive hybrid automatic repeat request–forward error correction (ARQ–FEC) erasure-correcting scheme for quality of service (QoS)-driven mobile multicast serv...
—This paper reports the design and development processes of a totally decoupled flexure-based XYZ parallel-kinematics micropositioning stage with piezoelectric actuation. The un...