ACRL Board Action at Midwinter

The National Assistance Board in Action

16-899C ACRL Tetris Reinforcement Learner

Our approach to this problem was to use reinforcement learning with a function approximator to approximate the state value function [RSS98]. In our case, a +1 reward was given for every completed line, so that the value function would encode the long-term number of lines that is going to be completed by the algorithm. In order to achieve this, we extract features from the game state, and use gr...

High - tech Think Tank and Action Workbench Frontier Editorial Board

The article turns to classical economic insights on the division of labor and to institutional reasoning to identify some costs and benefits of Open Source Software (OSS) and proprietary software production. It suggests that, thanks to its licenses, OSS favors market expansion more than proprietary software does by tapping into spontaneous work input. The spontaneous tapping leads to a division...

At-Speed BIST for Board-Level Interconnect

This article describes a novel Boundary Scan-like Built-In Self-Test (BIST) conception for autonomous at-speed testing and diagnosis of interconnect. It is based on recently proposed very efficient design of test pattern generation and response analysis hardware, which allows detection and diagnosis of both static and dynamic faults upon interconnects between chips in a multi-chip environment. ...

Abstracts of the Twenty-sixth Annual Midwinter Research Meeting

S OF THE TWENTY-SIXTH ANNUAL MIDWINTER RESEARCH MEETING