— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
Amir Massoud Farahmand, Azad Shademan, Martin J&au...
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
A one-dimensional, visual tracking chip has been implemented using neuromorphic,analog VLSI techniques to modelselective visual attention in the control of saccadic and smooth pur...
Timothy K. Horiuchi, Tonia G. Morris, Christof Koc...
The perception of a virtual environment depends on the user and the task the user is currently performing in that environment. Models of the human visual system can thus be exploi...
Veronica Sundstedt, Alan Chalmers, Kirsten Cater, ...