In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Equal allocation of bandwidth and/or power may not be efficient for wireless multi-user networks with limited bandwidth and power resources. Joint bandwidth and power allocation s...
Xiaowen Gong, Sergiy A. Vorobyov, Chintha Tellambu...
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
We consider the problem of monitoring and controlling the position of herd animals, and view animals as agents with natural mobility but not strictly controllable. By exploiting k...
Zack J. Butler, Peter I. Corke, Ronald A. Peterson...