Learning Poli ies with External

Learning and Exploitation Do Not Conflict Under Minimax Optimality

\Ve show thaI, H.daptive n�al time dyrmmic prograrnming ex­ tended with the action selection strategy which chooses the best action Recording 1.0 the laLest, estimaLe orLhf' cos!' rllndiofl yields i-\..'i.yrnptoLicl-tlly 0pLirnal poli(:ies within riniLe Limp lJnder· !,lIP minimax 0pLirnality criu-'­ rian. H'om this it follows that learning and exploitation do not confiict under this special opt...

A Note on the Existen e of Optimal Poli ies inTotal Reward

Learning Agents in a Homo Egualis Society

ABSTRACT Coordination is an important issue in multi-agent systems. A possible approa h to ta kle oordination, that re ently reeived quite a lot of attention, is to learn the e e ts of intera tion in the joint a tion spa e. However joint a tion spa es violate generally a epted requirements of multi-agents systems, su h as : distributed ontrol, asyn hronous a tions, in omplete information, ost o...

Ôøøú Êóùøø Óó Åóð× Ò Ëøó Blockin×øø Ììññ¹¹¹ôòòòòø Aeaeøûóöö× Êêôóöø Ìêêaeëè¹çê ¼¼¼¼¿¼ Ìööò×ôóöø Òò Åóóóððøý Äääóööøóöý Ë Blockinóóð Óó Ö Blockinøø Blockinøùöö¸úúð Òò Òúúöóòññòøøð Òòòòòòööòò Óðð Èóðýøø Blockinòòõùù Ööðð Ääù××òòò

We study adaptive route hoi e models that expli itly apture travelers' route hoi e adjustments a ording to information on realized network onditions in sto hasti time-dependent networks. Two types of adaptive route hoi e models are explored: an adaptive path model where a sequen e of path hoi e models are applied at intermediate de ision nodes; and a routing poli y hoi e model where the alterna...

Hyperfiltering for Stochastic Systems

Information-feedba k ontrol s hemes (more spe i ally, sensor-based ontrol s hemes) sele t an a tion at ea h stage based on the sensory data provided at that stage. Sin e it is impossible to know future sensor readings in advan e, predi ting the future behavior of a system be omes ne essary. Hyper ltering is a sequential method that enables probabilisti evaluation of future system performan e in...