Download Adaptive and Learning Agents: Second Workshop, ALA 2009, by Marc Ponsen, Matthew E. Taylor, Karl Tuyls (auth.), Matthew PDF

By Marc Ponsen, Matthew E. Taylor, Karl Tuyls (auth.), Matthew E. Taylor, Karl Tuyls (eds.)

ThisbookpresentsselectedandrevisedpapersoftheSecondWorkshoponAd- tive and studying brokers 2009 (ALA-09), held on the AAMAS 2009 convention in Budapest, Hungary, may well 12. The goalof ALA is to supply an interdisciplinaryforum for scientists from a number of ?elds corresponding to desktop technological know-how, biology, video game conception and economics. This year’s variation of ALA was once the second one after the merger of the previous wo- retailers ALAMAS and ALAg. In 2008 this joint workshop was once geared up for the ?rst time below the ?ag of either occasions. ALAMAS used to be a every year returning european- pean workshop on adaptive and studying brokers and multi-agent platforms (held 8 times). ALAg used to be the foreign workshop on adaptive and studying brokers, which used to be frequently held at AAMAS. to extend the energy, visibility and caliber of the workshop it used to be determined to merge either workshops below the ?ag of ALA and to establish a steerage Committee as an organizational spine. This ebook includes six papers awarded throughout the workshop, that have been rigorously chosen after an extra overview around in the summertime of 2009. We consequently desire to explicitly thank the individuals of this system Committee for the standard and sincerity in their e?orts and repair. additionally we want to thank all of the individuals of the senior guidance Committee for making this workshop attainable and helping it with sound recommendation. We additionally thank the AAMAS convention for supplying us a platform for containing this occasion. ultimately we additionally desire to thank all authors who answered to our call-for-papers with fascinating contributions.

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Extra info for Adaptive and Learning Agents: Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers

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1864, pp. 26–44. Springer, Heidelberg (2000) 13. : Relational Reinforcement Learning. html 14. : Relational reinforcement learning. Machine Learning 43, 7–52 (2001) 15. : Tree-based batch mode reinforcement learning. Journal of Machine Learning Research 6, 503–556 (2005) 16. : A theory of abstraction. Artificial Intelligence 57(2-3), 323–389 (1992) 17. : Abstraction and reformulation in ai. Philosophical transactions of the Royal Society of London 358(1435:1), 197–204 (2003) Abstraction and Generalization in Reinforcement Learning 31 18.

Tadepalli, P. ) ILP 2007. LNCS (LNAI), vol. 4894, pp. 254–268. Springer, Heidelberg (2008) 50. : Learning with Delayed Rewards. PhD thesis, Cambridge University (1989) 51. : A multiagent variant of dyna-q. In: Proceedings of the 4th International Conference on Multi-Agent Systems (ICMAS 2000), pp. 461–462 (2000) 52. : Explorations in Efficient Reinforcement Learning. PhD thesis, Universiteit van Amsterdam (1999) 53. : A grounded theory of abstraction in artificial intelligence. ie Abstract. This paper explores the evolution of strategies in an n-player dilemma game.

Autonomous shaping: Knowledge transfer in reinforcement learning. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 489–496 (2006) 22. : Building portable options: Skill transfer in reinforcement learning. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp. 895–900 (2007) 23. : Transfer of samples in batch reinforcement learning. In: Proceedings of the 25th Annual ICML, pp. 544–551 (2008) 24. : Towards a unified theory of state abstraction for MDPs.

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