This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
We present an incremental algorithm for building a neighborhood graph from a set of documents. This algorithm is based on a population of artificial agents that imitate the way re...
Abstract. In this paper we present a new, non-pheromone-based algorithm inspired by the behaviour of biological bees. The algorithm combines both recruitment and navigation strateg...
Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Now...
To come to a deal, a bargaining process can sometimes take a long time. An auction may be a faster, but existing auction models cannot cope with situations where money is not an is...