Abstract. Imitation learning is an intuitive and easy way of programming robots. Instead of specifying motor commands, you simply show the robot what to do. This paper presents a m...
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
We present a method for transforming the infinite interactive state space of interactive POMDPs (I-POMDPs) into a finite one, thereby enabling the computation of exact solutions. ...
This paper investigates the foundation of rnaxipnin, one of the central qualitative decision criteria, using the approach taken by Savage (Savage 1972) to investigate the foundati...
In farsighted MAS, every agent is aware of each other, and so they can evaluate the outcomes of their interaction in an efficient way. However, this farsighted knowledge becomes an...