Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map
Motion planning in off-road environments requires reasoning about both the geometry and semantics of the scene (e.g., a robot may be able to drive through soft bushes but not a fallen log). In many recent works, the worl…
Motion PlanningUnityL2Explorer: A Lifelong Reinforcement Learning Assessment Environment
Despite groundbreaking progress in reinforcement learning for robotics, gameplay, and other complex domains, major challenges remain in applying reinforcement learning to the evolving, open-world problems often found in …
Continual LearningLifelong learningreinforcement-learningReinforcement Learning+2On the Insensitivity of Bit Density to Read Noise in One-bit Quanta Image Sensors
The one-bit quanta image sensor is a photon-counting device that produces binary measurements where each bit represents the presence or absence of a photon. In the presence of read noise, the sensor quantizes the analog …
UnityThe evolutionary stability of partial migration with Allee effects
An Allee effect occurs when the per-capita growth rate increases at low densities. Here, we investigate the evolutionary stability of a partial migration population with migrant population experiencing Allee effects. Par…
DiversityUnityLong Run Risk in Stationary Structural Vector Autoregressive Models
This paper introduces a local-to-unity/small sigma process for a stationary time series with strong persistence and non-negligible long run risk. This process represents the stationary long run component in an unobserved…
Time SeriesTime Series AnalysisUnityAn Intelligent Pedagogical Agent to Foster Computational Thinking in Open-Ended Game Design Activities
Free-form Game-Design (GD) environments show promise in fostering Computational Thinking (CT) skills at a young age. However, such environments can be challenging to some students due to their highly open-ended nature. O…
FormGame DesignUnityDesign Optimization of a Three-Phase Transformer Using Finite Element Analysis
Optimization of design parameters of a transformer is a crucial task to increase efficiency and lower the material cost. This research presents an approach to model a three-phase transformer and optimize design parameter…
UnityInvestigating the impact of free energy based behavior on human in human-agent interaction
Humans communicate non-verbally by sharing physical rhythms, such as nodding and gestures, to involve each other. This sharing of physicality creates a sense of unity and makes humans feel involved with others. In this p…
Motion GenerationUnityRobust Comparative Statics for the Elasticity of Intertemporal Substitution
We study a general class of consumption-savings problems with recursive preferences. We characterize the sign of the consumption response to arbitrary shocks in terms of the product of two sufficient statistics: the elas…
UnityUnity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference
We propose Unity Smoothing (US) for handling inconsistencies between a Bayesian network model and new unseen observations. We show that prediction accuracy, using the junction tree algorithm with US is comparable to that…
UnityHybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Taking advantage of both vehicle-to-everything (V2X) communication and automated driving technology, connected and automated vehicles are quickly becoming one of the transformative solutions to many transportation proble…
Deep Reinforcement Learningreinforcement-learningReinforcement Learning (RL)UnityTowards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
Quantum machine learning is a fast-emerging field that aims to tackle machine learning using quantum algorithms and quantum computing. Due to the lack of physical qubits and an effective means to map real-world data from…
BIG-bench Machine LearningGraph LearningGraph Neural NetworkQuantum Machine Learning+1Multi-Mode Spatial Signal Processor with Rainbow-like Fast Beam Training and Wideband Communications using True-Time-Delay Arrays
Initial access in millimeter-wave (mmW) wireless is critical toward successful realization of the fifth-generation (5G) wireless networks and beyond. Limited bandwidth in existing standards and use of phase-shifters in a…
UnityBilateral Video Magnification Filter
Eulerian video magnification (EVM) has progressed to magnify subtle motions with a target frequency even under the presence of large motions of objects. However, existing EVM methods often fail to produce desirable r…
UnityOn Hawkes Processes with Infinite Mean Intensity
The stability condition for Hawkes processes and their non-linear extensions usually relies on the condition that the mean intensity is a finite constant. It follows that the total endogeneity ratio needs to be strictly …
UnityCurriculum Learning for Safe Mapless Navigation
This work investigates the effects of Curriculum Learning (CL)-based approaches on the agent's performance. In particular, we focus on the safety aspect of robotic mapless navigation, comparing over a standard end-to-end…
UnityLearning Connectivity-Maximizing Network Configurations
In this letter we propose a data-driven approach to optimizing the algebraic connectivity of a team of robots. While a considerable amount of research has been devoted to this problem, we lack a method that scales in a m…
UnityVision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
With the rapid development of intelligent vehicles and Advanced Driver-Assistance Systems (ADAS), a new trend is that mixed levels of human driver engagements will be involved in the transportation system. Therefore, nec…
UnityMusic-to-Dance Generation with Optimal Transport
Dance choreography for a piece of music is a challenging task, having to be creative in presenting distinctive stylistic dance elements while taking into account the musical theme and rhythm. It has been tackled by diffe…
DiversityRetrievalRhythmUnityLearning knot invariants across dimensions
We use deep neural networks to machine learn correlations between knot invariants in various dimensions. The three-dimensional invariant of interest is the Jones polynomial $J(q)$, and the four-dimensional invariants are…
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