RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
The vibratory bowl feeder is the oldest and still most common approach to the automated feeding (orienting) of industrial parts. In this paper we consider a class of vibratory bow...
Robert-Paul Berretty, Kenneth Y. Goldberg, Lawrenc...
The e cient support of data tra c over ATM networks requires congestion control, whose objectives include maximizing throughput, minimizing switch bu er requirement, and attaining...
In this paper we explore the packet starvation effect (PSE) that occurs in Ethernet controllers due to the unfairness of the CSMA/CD algorithm. The PSE causes some packets to expe...
Brian Whetten, Stephen Steinberg, Domenico Ferrari
We use the AdaBoost algorithm to classify 3D aerial lidar scattered height data into four categories: road, grass, buildings, and trees. To do so we use five features: height, hei...
Suresh K. Lodha, Darren N. Fitzpatrick, David P. H...