One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Recent micro-architectural research has proposed various schemes to enhance processors with additional tags to track various properties of a program. Such a technique, which is us...
Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huan...
Long term group work by small teams is a central part of many learning and workplace activities. Widespread group support tools such as wikis, version control systems and issue tra...
Constrained path problems have to do with finding paths in graphs subject to constraints. One way of constraining the graph is by enforcing reachability on nodes. For instance, i...
The distributed telecommunications sector not only requires minimal time to market, but also software that is reliable, available, maintainable and scalable. High level programmin...