The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
- Parallel architectures have become an increasingly popular method in which to achieve high performance with low power consumption. In order to leverage these benefits, applicatio...
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
— Stochastic self-reconfiguring robots are modular robots that possess the ability to autonomously change the arrangement of their modules and do so through the use of nondetermi...
Jonas Neubert, Abraham P. Cantwell, Stephane Const...
Dynamic Reconfiguration has always constituted a challenge for embedded systems designers. Nowadays, technological developments make possible to do it on Xilinx FPGAs, but setting...
Andres Upegui, Rico Moeckel, Elmar Dittrich, Auke ...