Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
We study decision-theoretic planning or reinforcement learning in the presence of traps such as steep slopes for outdoor robots or staircases for indoor robots. In this case, achi...
We study here the effect of concurrent greedy moves of players in atomic congestion games where n selfish agents (players) wish to select a resource each (out of m resources) so ...
Dimitris Fotakis, Alexis C. Kaporis, Paul G. Spira...
We consider pure exchange economies with finitely many private goods involving the choice of a public project. We discuss core-equivalence results in the general framework of non...
The majority of existing work on agent dialogues considers negotiation, persuasion or deliberation dialogues. We focus on inquiry dialogues that allow two agents to share knowledg...