We present the design and analysis of an approximately incentive-compatible combinatorial auction. In just a single run, the auction is able to extract enough value information fr...
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
Chemical information processing posseses a variety of valuable properties, such as, robustness, concurrency, faulttolerance, and evolvability. However, it is difficult to predict...
With current disciplinary structures and academic priorities, Human– Computer Interaction faces ongoing challenges: is it a discipline in its own right, or simply a sub-disciplin...
Ann Blandford, Rachel Benedyk, Nadia Berthouze, An...
The typical software engineering education lacks a practical experience of the process of software engineering-students are presented with relevant process theory in lectures, but...