— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
We describe a framework for better understanding scheduling policies for fine-grained parallel computations and their effect on space usage. We define a profiling semantics that c...
Replication is a key strategy for improving locality, fault tolerance and availability in distributed systems. The paper focuses on distributed file systems and presents a system ...
Abstract. This paper presents a middleware system for multi-agents on a distributed system as a general test-bed for bio-inspired approaches. The middleware is unique to other appr...
The establishment of a computational framework of roles contributes effectively to the management of instance models because it provides us with a useful policy for treatment of vi...