In this paper, we propose a framework for conversational robots that facilitates fourparticipant groups. In three-participant conversations, the minimum unit for multiparty conversations, social imbalance, in which a participant is left behind in the current conversation, sometimes occurs. In such scenarios, a conversational robot has the potential to facilitate situations as the fourth partici...

Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an agent needs to learn short-term memories of relevant previous events in order to execute optimal actions. Most previous work, however, has focused on reactive settings (MDPs) instead of POMDPs. Here we reimplement a r...

In this paper, we introduce tripled partially ordered sets and monotone functions on tripled partiallyordered sets. Some basic properties on these new dened sets are studied and some examples forclarifying are given.

introduction: we aimed to assess whether the vasodilator effect of oral dipyridamole on the left ventricular systolic function in patients with suspected cad is different from that of intravenous (iv) dipyridamole using tc-99m mibi myocardial perfusion gated spect. methods: eighty-nine patients (17 m / 72 w; 61 ± 10 years) were enrolled in this study. the patients underwent a dipyridamole stres...

Computers have already eclipsed the level of human play in competitive Scrabble, but there remains room for improvement. In particular, there is much to be gained by incorporating information about the opponent’s tiles into the decision-making process. In this work, we quantify the value of knowing what letters the opponent has. We use observations from previous plays to predict what tiles our ...

Interactive POMDPs (I-POMDPs) are a useful framework for describing POMDPs that interact with other POMDPs. I-POMDPs are solved recursively in levels: a level1 I-POMDP assumes the opponent acts randomly, and a levelk I-POMDP assumes the opponent is a level-(k-1) I-POMDP. In this paper, we introduce fully-nested I-POMDPs, which are uncertain about the physical state of the game, the level of the...

In ci componioiz paper [l] we have developed a frame,work fo,r rating 01‘ comparing navigation packages. For a giuen enuir.onment a navigation package consists of (I motion planner and a sensor to be used during nauigation. The cibility to rate or measure a navigation package is aniportant in order to address issues like sensor custom%zution for an environment and choice of a m.otion plarumr in...

in Euclidean spaces, with Fn(x, a ) and Gn(x) converging pointwise to functions F,(x,a) and G,(x), respectively, and give conditions for the limiting P O model Xt+l = F,(xt,at) + t t , Yt = G,(xt) + rlt to have an a-discount optimal policy. AMS Classification: 93320, 90C40.

The partially observable Markov decision process (POMDP) framework has been applied in dialogue systems as a formal framework to represent uncertainty explicitly while being robust to noise. In this context, estimating the dialogue POMDP model components is a significant challenge as they have a direct impact on the optimized dialogue POMDP policy. To achieve such an estimation, we propose meth...