We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
Abstract. The use of a medical guideline can be seen as the execution of computational tasks, sequentially or in parallel, in the face of patient data. It has been shown that many ...
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, M...
The emerging field of ubiquitous robotics presents new challenges for human-robot interface. In this note, we introduce the concept of a common interface point using an expression-...
Abstract. In this work we address the problem of elaborating domain descriptions (alias action theories), in particular those that are expressed in dynamic logic. We define a gener...
Andreas Herzig, Laurent Perrussel, Ivan José...
The PLATYPUS approach offers a generic platform for distributed answer set solving, accommodating a variety of different architectures for distributing the search for answer sets a...
Jean Gressmann, Tomi Janhunen, Robert E. Mercer, T...