… 5G scheduler design for time-sensitive traffic, where no communication model or expert
knowledge of the wireless scheduler design … ) framework for wireless scheduler design with time-…

… present an automated HPC scheduling agent named DRAS (Deep Reinforcement Agent for
… design a new scheduling agent DRAS which leverages the advance in deep reinforcement …

… In our design, we use a slight variant [32] that reduces the variance of the gradient estimates
… DESIGN In this section, we present our design for online multiresource cluster scheduling …

… learning-based control-aware scheduling algorithm, DEEPCAS. At its heart lies the Deep Q-…
following sequential design of control and scheduling: In the first step, we design an optimal …

… ’s scheduler lies in the heuristic nature of its scheduling … This design may minimize the
makespan for some DAGs, but … a new task scheduling algorithm should be designed to be …

… We propose an asynchronous deep reinforcement learning algorithm to support … deep
reinforcement learning is applied in the design and implementation of a realtime traffic scheduler …

… scheduler that leverages deep reinforcement learning (DRL) to perform smart locality-aware
scheduling of … of the SCHED2 policy, which might be guidance of future scheduler design. …

… deep reinforcement learning in HLS scheduling and give a feasible way to address them. We
propose a general Deep-RL based scheduler for different kinds of scheduling … We design a …

… scheduling in HPC. In this work, we present an automated HPC scheduling agent named
DRAS (Deep Reinforcement … we have designed DRAS, a RL-empowered job scheduling agent …

… Then, we design an efficient method to represent the scheduling policy based on Graph …
MDP formulation of the PDR based scheduling process. Then we design a size-agnostic policy …