Aiming to clarify the convergence or divergence conditions for Learning Classifier System (LCS), this paper explores: (1) an extreme condition where the reinforcement process of ...
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
Background: High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interaction...
Conor Lawless, Darren J. Wilkinson, Alexander Youn...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Future space missions, such as Mars Science Laboratory, are built upon computing platforms providing a high degree of autonomy and diverse functionality. The increased sophisticat...
Damian Dechev, Peter Pirkelbauer, Nicolas Rouquett...