%0 Journal Article %1 szepesvari1998a %A Szepesvári, Cs. %D 1998 %J Acta Cybernetica %K decision making, sequential theory %N 3 %P 305--318 %T Non-Markovian Policies in Sequential Decision Problems %V 13 %X In this article we prove the validity of the Bellman Optimality Equation and related results for sequential decision problems with a general recursive structure. The characteristic feature of our approach is that also non-Markovian policies are taken into account. The theory is motivated by some experiments with a learning robot.

@article{szepesvari1998a, abstract = {In this article we prove the validity of the Bellman Optimality Equation and related results for sequential decision problems with a general recursive structure. The characteristic feature of our approach is that also non-Markovian policies are taken into account. The theory is motivated by some experiments with a learning robot.}, added-at = {2020-03-17T03:03:01.000+0100}, author = {Szepesv{\'a}ri, {Cs}.}, biburl = {https://www.bibsonomy.org/bibtex/2c0878d576d6b9fab2cbdd89040e7732e/csaba}, date-added = {2010-08-28 17:38:14 -0600}, date-modified = {2010-09-02 13:09:16 -0600}, interhash = {52664c325f332b8b5bae73b2c3cf23b1}, intrahash = {c0878d576d6b9fab2cbdd89040e7732e}, journal = {Acta Cybernetica}, keywords = {decision making, sequential theory}, number = 3, pages = {305--318}, pdf = {papers/accyb97.ps.pdf}, timestamp = {2020-03-17T03:03:01.000+0100}, title = {Non-{M}arkovian Policies in Sequential Decision Problems}, volume = 13, year = 1998 }