%0 Conference Paper %1 kalmar1994 %A Kalmár, Zs. %A Szepesvári, Cs. %A Lörincz, A. %B Proc. of IEEE WCCI ICNN'94 %C Orlando, Florida %D 1994 %I IEEE Inc. %K agent architecture, learning reinforcement %P 1815--1817 %T Generalization in an Autonomous Agent %U http://ieeexplore.ieee.org/iel2/3013/8558/00374432.pdf?arnumber=374432 %V 3 %X In this article we present an extension of a previously defined model 8. This model was introduced to govern an agent in a goal-oriented fashion in a previously unknown environment. The extension allows generalization in the input space, which reduces memory requirements as well as the time requirements of the algorithm.

@inproceedings{kalmar1994, abstract = {In this article we present an extension of a previously defined model [8]. This model was introduced to govern an agent in a goal-oriented fashion in a previously unknown environment. The extension allows generalization in the input space, which reduces memory requirements as well as the time requirements of the algorithm.}, added-at = {2020-03-17T03:03:01.000+0100}, address = {Orlando, Florida}, author = {Kalm{\'a}r, {Zs}. and Szepesv{\'a}ri, {Cs}. and L{\"o}rincz, A.}, bdsk-url-1 = {http://ieeexplore.ieee.org/iel2/3013/8558/00374432.pdf?arnumber=374432}, biburl = {https://www.bibsonomy.org/bibtex/2aaa4141acc0cadcd5c43a5b87058eb1a/csaba}, booktitle = {Proc. of IEEE WCCI ICNN'94}, date-added = {2010-08-28 17:38:14 -0600}, date-modified = {2010-09-04 14:51:53 -0600}, interhash = {3314b4c5c8dd423703626ed38101b720}, intrahash = {aaa4141acc0cadcd5c43a5b87058eb1a}, keywords = {agent architecture, learning reinforcement}, month = {June}, pages = {1815--1817}, pdf = {papers/kalmar.gen.pdf}, publisher = {IEEE Inc.}, timestamp = {2020-03-17T03:03:01.000+0100}, title = {Generalization in an Autonomous Agent}, url = {http://ieeexplore.ieee.org/iel2/3013/8558/00374432.pdf?arnumber=374432}, volume = 3, year = 1994 }