Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
Homography-based glint-normalization is presented as a novel gaze estimation method for uncalibrated setups. The method is geometrically and empirically demonstrated to be robust ...
Dan Witzner Hansen, Javier San Agustin, Arantxa Vi...
— Cycle-accurate functional descriptions (CAFDs) are being widely adopted in integrated circuit (IC) design flows. Power estimation can potentially benefit from the inherent in...
Lin Zhong, Srivaths Ravi, Anand Raghunathan, Niraj...
Particle filters have been introduced as a powerful tool to estimate the posterior density of nonlinear systems. These filters are also capable of processing data online as requir...
Chong Chen, Dan Schonfeld, Junlan Yang, Magdi A. M...
- In our current research, we are developing a holonomic mobile system which is capable of running over the step. This system realizes omni-directional motion on flat floor using s...