In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
In reconfigurable systems, reconfiguration latency has a significant impact on the system performance. In this work, a temporal partitioning algorithm is presented to partition da...
Farhad Mehdipour, Morteza Saheb Zamani, Mehdi Sedi...
Run-time assignment of a set of communicating tasks onto a heterogeneous multiprocessor system-on-chip (MPSoC) platform is a challenging task. Having FPGA fabric tiles in such MPS...
Vincent Nollet, Prabhat Avasare, Diederik Verkest,...