In the near future, off-road mobile robots will feature high levels of autonomy which will render them useful for a variety of tasks on Earth and other planets. Many terrestrial a...
—Grid applications need to move large amounts of data between distributed resources within deterministic time frames. In most cases it is possible to specify the volume and the d...
Kashif Munir, Pascale Vicat-Blanc Primet, Michael ...
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...