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ICML
2007
IEEE
14 years 10 months ago
Automatic shaping and decomposition of reward functions
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...
Bhaskara Marthi
ICML
1997
IEEE
14 years 10 months ago
Hierarchical Explanation-Based Reinforcement Learning
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...
Prasad Tadepalli, Thomas G. Dietterich
WWW
2007
ACM
14 years 10 months ago
On building graphs of documents with artificial ants
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...
Hanane Azzag, Julien Lavergne, Christiane Guinot, ...
AAMAS
2007
Springer
14 years 4 months ago
Bee Behaviour in Multi-agent Systems
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...
HOLOMAS
2007
Springer
14 years 4 months ago
Auctions with Arbitrary Deals
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...
Tamás Máhr, Mathijs de Weerdt