Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
: Compliance management, risk analysis, and auditing are disciplines that are critical for large scale distributed enterprise systems. The way these complex systems are developed a...
— Some commonly used inter-domain-routing policies—e.g., those using BGP’s MED attribute for cold-potato routing—are beyond the scope of routing theory developed to date. T...
Social networking sites have come under criticism for their poor privacy protection track record. Yet, there is an inherent difficulty in deciding which principals should have acc...