Backed by our supplementary studies, we underpinned the large potential of animal avatars for VR research and applications, be it for education or entertainment. To provide a starting point for future research, we proposed a number of different cont…

We would like to thank Amin Aminzadeh Gohari, Salman Beigi, and Mohammad Hossein Yassaee for helpful discussions.

In this paper, we have presented the first provable RL algorithm with both polynomial runtime and polynomial sample complexity for linear MDPs, without requiring a “simulator” or additional assumptions. The algorithm is simply Least-Squares Value It…

We proposed a framework for super-resolving images that leverages the good performance of learning-based methods, including CNN architectures, and the consistency enforced by reconstruction-based algorithms. The framework takes a base learning-metho…

In this section, we construct a low-variance estimate of the Lovász subgradient, and we apply the stochastic subgradient descent algorithm on it to minimize the Lovász extension. The stochastic subgradient descent method is a general algorithm for a…