Concept
Tychonoff space
Related publications (32)
Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning
Alexandre Massoud Alahi, Ting Zhang
Prediction is a vital component of motion planning for autonomous vehicles (AVs). By reasoning about the possible behavior of other target agents, the ego vehicle (EV) can navigate safely, efficiently, and politely. However, most of the existing work overl ...
Ieee-Inst Electrical Electronics Engineers Inc2024Inverse Reinforcement Learning of Pedestrian-Robot Coordination
Aude Billard, David Julian Gonon
We apply inverse reinforcement learning (IRL) with a novel cost feature to the problem of robot navigation in human crowds. Consistent with prior empirical work on pedestrian behavior, the feature anticipates collisions between agents. We efficiently learn ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Neural-network quantum states for periodic systems in continuous space
Giuseppe Carleo, Gabriel Maria Pescia
We introduce a family of neural quantum states for the simulation of strongly interacting systems in the presence of spatial periodicity. Our variational state is parametrized in terms of a permutationally invariant part described by the Deep Sets neural-n ...
AMER PHYSICAL SOC2022Spectral Coarse Spaces for the Substructured Parallel Schwarz Method
The parallel Schwarz method (PSM) is an overlapping domain decomposition (DD) method to solve partial differential equations (PDEs). Similarly to classical nonoverlapping DD methods, the PSM admits a substructured formulation, that is, it can be formulated ...
2022Discretisation and continuity: The emergence of symbols in communication
Martin Alois Rohrmeier, Robert Lieck
Vocal signalling systems, as used by humans and various non-human animals, exhibit discrete and continuous properties that can naturally be used to express discrete and continuous information, such as distinct words to denote objects in the world and proso ...
2021On the asymptotic optimality of spectral coarse spaces
This paper is concerned with the asymptotic optimality of spectral coarse spaces for two-level iterative methods. Spectral coarse spaces, namely coarse spaces obtained as the span of the slowest modes of the used one-level smoother, are known to be very ef ...
Springer-Verlag2021Learning from demonstration using products of experts: Applications to manipulation and task prioritization
Sylvain Calinon, Emmanuel Pignat
Probability distributions are key components of many learning from demonstration (LfD) approaches, with the spaces chosen to represent tasks playing a central role. Although the robot configuration is defined by its joint angles, end-effector poses are oft ...
SAGE PUBLICATIONS LTD2021Uncertain Sampling with Certain Priors
Sampling has always been at the heart of signal processing providing a bridge between the analogue world and discrete representations of it, as our ability to process data in continuous space is quite limited. Furthermore, sampling plays a key part in unde ...
EPFL2021Localized orthogonal decomposition method for the wave equation with a continuum of scales
Assyr Abdulle, Patrick Henning
In this paper we propose and analyze a new multiscale method for the wave equation. The proposed method does not require any assumptions on space regularity or scale-separation and it is formulated in the framework of the Localized Orthogonal Decomposition ...
American Mathematical Society2017Dynamical Efficiency in congested road networks
The main topological properties of a transportation network can be characterized using different criteria such as structure, the degree distribution of nodes, connectivity and some clustering aspects. Efficiency is a property of a network that identifies t ...
2017