Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
—Energy consumption continues to be a major concern in multiple application domains including powerhungry data centers, portable and wearable devices, mobile communication device...
Anthony Rowe, Karthik Lakshmanan, Haifeng Zhu, Rag...
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
The TAC Supply Chain Management (TAC/SCM) game presents a challenging dynamic environment for autonomous decision-making in a salient application domain. Strategic interactions co...
Patrick R. Jordan, Christopher Kiekintveld, Michae...
As new attacks against Windows-based machines emerge almost on a daily basis, there is an increasing need to “lock down” individual users’ desktop machines in corporate comp...