Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
We give efficient algorithms to sample uniformly, and count approximately, the solutions to a zero-one knapsack problem. The algorithm is based on using dynamic programming to pro...
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dedicated machine constraint is one of the new challenges introduced in photolithography machinery of the semiconductor manufacturing system due to natural bias. Previous research...
Huy Nguyen Anh Pham, Arthur M. D. Shr, Peter P. Ch...
Online update is a technique that reduces the disruption caused by a software update. It does so by applying a patch to a running process as opposed to shutting down the process a...