Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Self-Supervised Exploration via Disagreement
Efficient exploration is a long-standing problem in sensorimotor learning. Major advances have been demonstrated in noise-free, non-stochastic domains such as video games and simulation. However, most of these formulatio…
Active LearningEfficient ExplorationMuJoCoReinforcement Learning+2Data-driven Thresholding in Denoising with Spectral Graph Wavelet Transform
This paper is devoted to adaptive signal denoising in the context of Graph Signal Processing (GSP) using Spectral Graph Wavelet Transform (SGWT). This issue is addressed \emph{via} a data-driven thresholding process in t…
DenoisingUnityNew copulas based on general partitions-of-unity (part III) - the continuous case (extended version)
In this paper we discuss a natural extension of infinite discrete partition-of-unity copulas which were recently introduced in the literature to continuous partition of copulas with possible applications in risk manageme…
ManagementUnityArena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI. One of the most promising paths towards this vision is multi-agent learning, where agents act as the environme…
Multi-agent Reinforcement LearningReinforcement LearningUnityShip classification from overhead imagery using synthetic data and domain adaptation
In this paper, we revisit the problem of classifying ships (maritime vessels) detected from overhead imagery. Despite the last decade of research on this very important and pertinent problem, it remains largely unsolved.…
Domain AdaptationGeneral ClassificationUnityImproved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
Infrared (IR) images are essential to improve the visibility of dark or camouflaged objects. Object recognition and segmentation based on a neural network using IR images provide more accuracy and insight than color visi…
Data AugmentationObject RecognitionUnityWONDER: Weighted one-shot distributed ridge regression in high dimensions
In many areas, practitioners need to analyze large datasets that challenge conventional single-machine computing. To scale up data analysis, distributed and parallel computing approaches are increasingly needed. Here we …
Distributed ComputingregressionUnityVocal Bursts Intensity PredictionMarathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
Recent advances in deep reinforcement learning in the paradigm of locomotion using continuous control have raised the interest of game makers for the potential of digital actors using active ragdoll. Currently, the avail…
continuous-controlContinuous ControlDeep Reinforcement LearningNavigate+2Reinforcement Learning from Hierarchical Critics
In this study, we investigate the use of global information to speed up the learning process and increase the cumulative rewards of reinforcement learning (RL) in competition tasks. Within the actor-critic RL, we introdu…
Multi-agent Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1New copulas based on general partitions-of-unity and their applications to risk management
We construct new multivariate copulas on the basis of a generalized infinite partition-of-unity approach. This approach allows - in contrast to finite partition-of-unity copulas - for tail-dependence as well as for asymm…
ManagementUnityHopf-bifurcation analysis of pneumococcal pneumonia with time delays
In this paper, a mathematical model of pneumococcal pneumonia with time delays is proposed. The stability theory of delay differential equations is used to analyze the model. The results show that the disease-free equili…
UnityFrom fixation probabilities to d-player games: an inverse problem in evolutionary dynamics
The probability that the frequency of a particular trait will eventually become unity, the so-called fixation probability, is a central issue in the study of population evolution. Its computation, once we are given a sto…
MathUnity3D Traffic Simulation for Autonomous Vehicles in Unity and Python
Over the recent years, there has been an explosion of studies on autonomous vehicles. Many collected large amount of data from human drivers. However, compared to the tedious data collection approach, building a virtual …
Autonomous VehiclesDeep Reinforcement LearningPositionReinforcement Learning+1Can quantum physics help solve the hard problem of consciousness? A hypothesis based on entangled spins and photons
The hard problem of consciousness is the question how subjective experience arises from brain matter. I suggest exploring the possibility that quantum physics could be part of the answer. The simultaneous unity and compl…
PhilosophyUnityUnity: A General Platform for Intelligent Agents
Recent advances in artificial intelligence have been driven by the presence of increasingly realistic and complex simulated environments. However, many of the existing environments provide either unrealistic visuals, ina…
Reinforcement LearningUnityFull-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks
We propose Progressive Structure-conditional Generative Adversarial Networks (PSGAN), a new framework that can generate full-body and high-resolution character images based on structural information. Recent progress in g…
UnityVideo GenerationPricing Derivatives under Multiple Stochastic Factors by Localized Radial Basis Function Methods
We propose two localized Radial Basis Function (RBF) methods, the Radial Basis Function Partition of Unity method (RBF-PUM) and the Radial Basis Function generated Finite Differences method (RBF-FD), for solving financia…
UnityGenerating Paths with WFC
Motion plans are often randomly generated for minor game NPCs. Repetitive or regular movements, however, require non-trivial programming effort and/or integration with a pathing system. We here describe an example-based …
UnityTracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking
Traditional multiple object tracking methods divide the task into two parts: affinity learning and data association. The separation of the task requires to define a hand-crafted training goal in affinity learning stage a…
Multi-Object TrackingMultiple Object TrackingObject TrackingUnityModelling of consciousness and interpretation of quantum mechanics
I start from the fundamental principles of non-relativistic quantum mechanics, without probability, and interpret them using the notion of coexistence: a quantum state can be read, not uniquely, as a coexistence of other…
Decision MakingUnity