An Abstraction to Support Design of Deadlock-free Routing Algorithms for Large and Hierarchical NoCsdoi:10.1109/cit.2011.32Rickard HolsmarkShashi KumarIEEEComputer and Information Technology
Conservative algorithms include the null message scheme [2, 4], deadlock detection and recovery scheme [5], an hierarchical scheme =-=[12]-=-, and conservative time windows [9]. The most well known optimistic algorithm is time-warp [8]. A survey of many of the distributed simulation ...
The advantage of these hierarchical reinforcement learning algorithms is their ability to effectively reduce the state and action space. However, like general reinforcement learning, they often assume a fixed target for penetration or a set duration. Such assumptions lead to inefficiencies and limit ...
The advantage of these hierarchical reinforcement learning algorithms is their ability to effectively reduce the state and action space. However, like general reinforcement learning, they often assume a fixed target for penetration or a set duration. Such assumptions lead to inefficiencies and limit ...